51
WHAT IS SENSORY ANALYSIS? The use of people as instruments to measure sensory response to stimuli.

The use of people as instruments to measure · WHAT IS SENSORY ANALYSIS? The use of people as instruments to measure sensory response to stimuli

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WHAT IS SENSORY ANALYSIS

The use of people as instruments to measure sensory response to stimuli

Flavor defined by Morton Meilgaard

ldquothe term used to describe the complex interaction of taste smell and chemical irritation of foods in the mouth that add to its mouth-feel such as carbonation the burn of chili peppers or the coolness of mentholrdquo

Flavor is made up of

Basic Tastes

Aromaticsbull Olfactory stimulationbull Trigeminal nerve stim

Mouthfeelsbull Chemical or physical sensationsbull Astringent drytannin bite burn etc

What can we taste Sweet Sour Salty Bitter Umami

response to salts of glutamic acids like MSG Processed meats cheeses and soy sauce also contain glutamate

The ldquoreceptor maprdquo is dead Hanig 1901 turned over by Collings 1974

Can you smell sweet Perception of flavor is a

combination of sensory stimuli Basic Tastes 5 Smell is 90 Touch 1 (trigem) Balance is vision hearing etc

But Aroma can be an Indicator of flavor

No you canrsquot

Trigeminal amp Tactile Sensation

Carbonation Related to level partial pressure Pain Can increase perception of bitterness

Fullness Function of residual solids Dextrins and Oligosaccharides (complex sugars)

After feel Astringency Pain (chili peppers)

Aroma The human nose is very sensitive

More sensitive than a gas chromatograph

Perception changes based on situation

Smell with sniffs in short burst for 1-2 seconds After this receptors become saturated and can require 20 seconds +- to reset

Donrsquot forget to exhale

The Flavor Unit Concept introduced by Dr Morton Meilgaard

Recognized 100rsquos of compounds in beer There are different thresholds for chemicals we can taste

Example Ethanol 50 grams Liter (50000+ ppm) S-Methyl Mercaptan 4 nanograms per Liter

10-9 grams per Liter(0000001 ppm)

Need a way to compare One flavor unit = the starting threshold that a compound can be detected by

the olfactory Ethanol at 50 gramsLiter = 1 flavor unit S-Methyl Mercaptan at 8 nanograms per Liter = 2 flavor units

Allows apples to apples comparison

BASIC TRAININGWhat it comes down to is everyone who touches your beer should know how to talk about your beer

WHO

Beer school for all new hires Brewer Cellar Lab Packaging Sales Marketing Distributors Festivals Tours Promotions

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Flavor defined by Morton Meilgaard

ldquothe term used to describe the complex interaction of taste smell and chemical irritation of foods in the mouth that add to its mouth-feel such as carbonation the burn of chili peppers or the coolness of mentholrdquo

Flavor is made up of

Basic Tastes

Aromaticsbull Olfactory stimulationbull Trigeminal nerve stim

Mouthfeelsbull Chemical or physical sensationsbull Astringent drytannin bite burn etc

What can we taste Sweet Sour Salty Bitter Umami

response to salts of glutamic acids like MSG Processed meats cheeses and soy sauce also contain glutamate

The ldquoreceptor maprdquo is dead Hanig 1901 turned over by Collings 1974

Can you smell sweet Perception of flavor is a

combination of sensory stimuli Basic Tastes 5 Smell is 90 Touch 1 (trigem) Balance is vision hearing etc

But Aroma can be an Indicator of flavor

No you canrsquot

Trigeminal amp Tactile Sensation

Carbonation Related to level partial pressure Pain Can increase perception of bitterness

Fullness Function of residual solids Dextrins and Oligosaccharides (complex sugars)

After feel Astringency Pain (chili peppers)

Aroma The human nose is very sensitive

More sensitive than a gas chromatograph

Perception changes based on situation

Smell with sniffs in short burst for 1-2 seconds After this receptors become saturated and can require 20 seconds +- to reset

Donrsquot forget to exhale

The Flavor Unit Concept introduced by Dr Morton Meilgaard

Recognized 100rsquos of compounds in beer There are different thresholds for chemicals we can taste

Example Ethanol 50 grams Liter (50000+ ppm) S-Methyl Mercaptan 4 nanograms per Liter

10-9 grams per Liter(0000001 ppm)

Need a way to compare One flavor unit = the starting threshold that a compound can be detected by

the olfactory Ethanol at 50 gramsLiter = 1 flavor unit S-Methyl Mercaptan at 8 nanograms per Liter = 2 flavor units

Allows apples to apples comparison

BASIC TRAININGWhat it comes down to is everyone who touches your beer should know how to talk about your beer

WHO

Beer school for all new hires Brewer Cellar Lab Packaging Sales Marketing Distributors Festivals Tours Promotions

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Flavor is made up of

Basic Tastes

Aromaticsbull Olfactory stimulationbull Trigeminal nerve stim

Mouthfeelsbull Chemical or physical sensationsbull Astringent drytannin bite burn etc

What can we taste Sweet Sour Salty Bitter Umami

response to salts of glutamic acids like MSG Processed meats cheeses and soy sauce also contain glutamate

The ldquoreceptor maprdquo is dead Hanig 1901 turned over by Collings 1974

Can you smell sweet Perception of flavor is a

combination of sensory stimuli Basic Tastes 5 Smell is 90 Touch 1 (trigem) Balance is vision hearing etc

But Aroma can be an Indicator of flavor

No you canrsquot

Trigeminal amp Tactile Sensation

Carbonation Related to level partial pressure Pain Can increase perception of bitterness

Fullness Function of residual solids Dextrins and Oligosaccharides (complex sugars)

After feel Astringency Pain (chili peppers)

Aroma The human nose is very sensitive

More sensitive than a gas chromatograph

Perception changes based on situation

Smell with sniffs in short burst for 1-2 seconds After this receptors become saturated and can require 20 seconds +- to reset

Donrsquot forget to exhale

The Flavor Unit Concept introduced by Dr Morton Meilgaard

Recognized 100rsquos of compounds in beer There are different thresholds for chemicals we can taste

Example Ethanol 50 grams Liter (50000+ ppm) S-Methyl Mercaptan 4 nanograms per Liter

10-9 grams per Liter(0000001 ppm)

Need a way to compare One flavor unit = the starting threshold that a compound can be detected by

the olfactory Ethanol at 50 gramsLiter = 1 flavor unit S-Methyl Mercaptan at 8 nanograms per Liter = 2 flavor units

Allows apples to apples comparison

BASIC TRAININGWhat it comes down to is everyone who touches your beer should know how to talk about your beer

WHO

Beer school for all new hires Brewer Cellar Lab Packaging Sales Marketing Distributors Festivals Tours Promotions

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

What can we taste Sweet Sour Salty Bitter Umami

response to salts of glutamic acids like MSG Processed meats cheeses and soy sauce also contain glutamate

The ldquoreceptor maprdquo is dead Hanig 1901 turned over by Collings 1974

Can you smell sweet Perception of flavor is a

combination of sensory stimuli Basic Tastes 5 Smell is 90 Touch 1 (trigem) Balance is vision hearing etc

But Aroma can be an Indicator of flavor

No you canrsquot

Trigeminal amp Tactile Sensation

Carbonation Related to level partial pressure Pain Can increase perception of bitterness

Fullness Function of residual solids Dextrins and Oligosaccharides (complex sugars)

After feel Astringency Pain (chili peppers)

Aroma The human nose is very sensitive

More sensitive than a gas chromatograph

Perception changes based on situation

Smell with sniffs in short burst for 1-2 seconds After this receptors become saturated and can require 20 seconds +- to reset

Donrsquot forget to exhale

The Flavor Unit Concept introduced by Dr Morton Meilgaard

Recognized 100rsquos of compounds in beer There are different thresholds for chemicals we can taste

Example Ethanol 50 grams Liter (50000+ ppm) S-Methyl Mercaptan 4 nanograms per Liter

10-9 grams per Liter(0000001 ppm)

Need a way to compare One flavor unit = the starting threshold that a compound can be detected by

the olfactory Ethanol at 50 gramsLiter = 1 flavor unit S-Methyl Mercaptan at 8 nanograms per Liter = 2 flavor units

Allows apples to apples comparison

BASIC TRAININGWhat it comes down to is everyone who touches your beer should know how to talk about your beer

WHO

Beer school for all new hires Brewer Cellar Lab Packaging Sales Marketing Distributors Festivals Tours Promotions

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Can you smell sweet Perception of flavor is a

combination of sensory stimuli Basic Tastes 5 Smell is 90 Touch 1 (trigem) Balance is vision hearing etc

But Aroma can be an Indicator of flavor

No you canrsquot

Trigeminal amp Tactile Sensation

Carbonation Related to level partial pressure Pain Can increase perception of bitterness

Fullness Function of residual solids Dextrins and Oligosaccharides (complex sugars)

After feel Astringency Pain (chili peppers)

Aroma The human nose is very sensitive

More sensitive than a gas chromatograph

Perception changes based on situation

Smell with sniffs in short burst for 1-2 seconds After this receptors become saturated and can require 20 seconds +- to reset

Donrsquot forget to exhale

The Flavor Unit Concept introduced by Dr Morton Meilgaard

Recognized 100rsquos of compounds in beer There are different thresholds for chemicals we can taste

Example Ethanol 50 grams Liter (50000+ ppm) S-Methyl Mercaptan 4 nanograms per Liter

10-9 grams per Liter(0000001 ppm)

Need a way to compare One flavor unit = the starting threshold that a compound can be detected by

the olfactory Ethanol at 50 gramsLiter = 1 flavor unit S-Methyl Mercaptan at 8 nanograms per Liter = 2 flavor units

Allows apples to apples comparison

BASIC TRAININGWhat it comes down to is everyone who touches your beer should know how to talk about your beer

WHO

Beer school for all new hires Brewer Cellar Lab Packaging Sales Marketing Distributors Festivals Tours Promotions

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Trigeminal amp Tactile Sensation

Carbonation Related to level partial pressure Pain Can increase perception of bitterness

Fullness Function of residual solids Dextrins and Oligosaccharides (complex sugars)

After feel Astringency Pain (chili peppers)

Aroma The human nose is very sensitive

More sensitive than a gas chromatograph

Perception changes based on situation

Smell with sniffs in short burst for 1-2 seconds After this receptors become saturated and can require 20 seconds +- to reset

Donrsquot forget to exhale

The Flavor Unit Concept introduced by Dr Morton Meilgaard

Recognized 100rsquos of compounds in beer There are different thresholds for chemicals we can taste

Example Ethanol 50 grams Liter (50000+ ppm) S-Methyl Mercaptan 4 nanograms per Liter

10-9 grams per Liter(0000001 ppm)

Need a way to compare One flavor unit = the starting threshold that a compound can be detected by

the olfactory Ethanol at 50 gramsLiter = 1 flavor unit S-Methyl Mercaptan at 8 nanograms per Liter = 2 flavor units

Allows apples to apples comparison

BASIC TRAININGWhat it comes down to is everyone who touches your beer should know how to talk about your beer

WHO

Beer school for all new hires Brewer Cellar Lab Packaging Sales Marketing Distributors Festivals Tours Promotions

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Aroma The human nose is very sensitive

More sensitive than a gas chromatograph

Perception changes based on situation

Smell with sniffs in short burst for 1-2 seconds After this receptors become saturated and can require 20 seconds +- to reset

Donrsquot forget to exhale

The Flavor Unit Concept introduced by Dr Morton Meilgaard

Recognized 100rsquos of compounds in beer There are different thresholds for chemicals we can taste

Example Ethanol 50 grams Liter (50000+ ppm) S-Methyl Mercaptan 4 nanograms per Liter

10-9 grams per Liter(0000001 ppm)

Need a way to compare One flavor unit = the starting threshold that a compound can be detected by

the olfactory Ethanol at 50 gramsLiter = 1 flavor unit S-Methyl Mercaptan at 8 nanograms per Liter = 2 flavor units

Allows apples to apples comparison

BASIC TRAININGWhat it comes down to is everyone who touches your beer should know how to talk about your beer

WHO

Beer school for all new hires Brewer Cellar Lab Packaging Sales Marketing Distributors Festivals Tours Promotions

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

The Flavor Unit Concept introduced by Dr Morton Meilgaard

Recognized 100rsquos of compounds in beer There are different thresholds for chemicals we can taste

Example Ethanol 50 grams Liter (50000+ ppm) S-Methyl Mercaptan 4 nanograms per Liter

10-9 grams per Liter(0000001 ppm)

Need a way to compare One flavor unit = the starting threshold that a compound can be detected by

the olfactory Ethanol at 50 gramsLiter = 1 flavor unit S-Methyl Mercaptan at 8 nanograms per Liter = 2 flavor units

Allows apples to apples comparison

BASIC TRAININGWhat it comes down to is everyone who touches your beer should know how to talk about your beer

WHO

Beer school for all new hires Brewer Cellar Lab Packaging Sales Marketing Distributors Festivals Tours Promotions

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

BASIC TRAININGWhat it comes down to is everyone who touches your beer should know how to talk about your beer

WHO

Beer school for all new hires Brewer Cellar Lab Packaging Sales Marketing Distributors Festivals Tours Promotions

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

WHO

Beer school for all new hires Brewer Cellar Lab Packaging Sales Marketing Distributors Festivals Tours Promotions

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

HOW and WHEN Schedule Panels as Meetings Keep Consistent - same time and location Goal is Regular Attendance

Work it in so people look forward to it End of Meetings Shift Changes Break in the Day

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

BEER SCHOOL

WHAT MAKES YOUR BEERS SPECIAL

What is in it Appearance Aroma Taste Flavor Characteristics Aftertaste Style Alcohol IBU Availability Food Pairings

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

YOUR BEER

Know the aroma and flavor characteristics of all your beers MALTS HOPS YEASTS SPICES

Whatever is in it have available for reference

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Vocabulary amp Recognition

Use reference standards ie spikes aroma vials malt hops

Repetition is the key to learning Donrsquot Rush It Build vocabulary slowly to take pressure off

Spikes These are your Lego Blocks

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Teaching What and Why

Common off aroma flavor checks Diacetyl Rests

Aroma and tastings through-outthe brewing processes From Wort to Package

Technical Feedback True to Brand Consistency

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

BUILDING BLOCKS

No Pressure Panels Build up your own Attribute Library Everyone Participates Good Motivator

Lower threshold levels Different Styles Oxidation Stages Brand Recognition

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Flavor Wheel

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible

APPEARANCE (Clarity and Chill Haze)AROMA

SERVE AT AN APPROPRIATE DRINKING TEMPERATURE

TASTE (Donrsquot DRINK)

Scoring SystemAFTERTASTE

We donrsquot spit beerBLIND TASTING (Fair and Good Practice)LIMIT THE NUMBER OF BEERS TO AVOID TASTEBUD BURNOUT

PALATE CLEANSERS (Plain Crackers and Water)

LEARN TEACH TO NOT FINISH THE WHOLE SAMPLE

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

MOTIVATION

Change things up variety Different types of PanelsAroma Vials Spikes Triangle Tests Preference

Everyone learns differently Positive Rewards Feedback and Guidance SERIOUS BUSINESS BUT FUN

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

TRAINING VALIDATION AND FEEDBACK OF A

PRODUCTIONMARKET RELEASE PANEL

Cathy Haddock

Sensory Specialist Quality Assurance Dept Sierra Nevada Brewing Co

CBC Annual Meeting 2011

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Why is it important to have a trained and validated panel

A trained sensory panel is a valuable instrument each taster being a unique tool in the toolboxbull Can not rely on just 1 opinion Everyone has their own

sensitivities

Example Brew master who is blind to diacetyl is the sole taster for release of product to market Not good

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

What is a Production Release Panel

Production Release Panel-a trained panel that evaluates product to be release to market

Panel can use various quality control tests such as a go-no go inout yesno passfail quality ratings etc format

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Training Process-Production Release Panel

If you are on the Production Release Panel you must be trained and validated

on off flavor recognition and brand attribute

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

What to train with

Train using spiking compounds Flavor Activhellipquick easy good shelf life but

costly cost varies per compound Seibel Training Kithellipquick easy shorter shelf life

(2 months-refrigerated) 25 vials for $180 Sigma Aldrich Flavor and Fragrances Kit-some

dilution prep work 22 vials for $473 No DMS or Acetaldehyde Good shelf life

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Next Steps

Identify what key flavors and off flavors are important and train on those compounds

Recommend spiking and training with a flagship brand as well as any other brands if time and expense is available

A spiking in one brand can come across different in another brand

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Types of Training and Test Methods

Types of TrainingValidation Methods Off Flavor Recognition Testing-present panelist with spiked

beer samples for evaluation and identification Recommend 6 samples in a session

Brand Attribute-training with pantry reference standards one-on-one and group exercises

Sensitivity Threshold Testing-provides training on how compounds are perceived at various concentrations as well as gain insight on panelist sensitivities

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Tasters report from test session-taste panelists are known by a 4 digit code

667 667 667

833 833 833

1000 1000 1000 1000

00

100

200

300

400

500

600

700

800

900

1000Flavor Activ Friday-12-17-10

Panel average=850

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Off Flavor Recognition- Spreadsheet

8132010 8272010 10152010 10222010 1152010 11192010 1232010 12172010 2010 avg 2009 avg 2009

2010avg626 726 acetaldehyde 395 558750 810 acetic acid 918 840

10000 972 alkaline 769 692750 681 butyric acid 597 637

538 capryllic acid 804 DIV08750 909 800 catty 917 7658750 889 900 778 chlorophenol 825 8098750 1000 863 diacetyl 972 975

6250 754 dms 781 5928750 1000 958 earthy 817 804

6250 543 ethyl butyrate 726 6808750 900 911 ethyl hexanoate 867 834

452 freshly cut grass 625 828570 633 geraniol 723 745

7500 444 486 grainy 570 4225000 455 594 indole 586 309

8750 778 769 isoamyl acetate 827 8136250 818 792 isovaleric acid 688 743

3750 444 700 491 leathery 597 50910000 1000 1000 lightstruck 944 972

3750 182 375 mercaptan 430 3237500 909 896 metallic 822 8813750 800 533 musty 695 629

2500 375 392 onion 361 3596250 875 800 852 papery 869 874

626 774 phenolic 614 3733750 386 plastic 235 335

5000 545 639 sour 642 4655000 635 lactic acid 666 6665000 687 ethyl acetate 650 650

929 methional 817 817500 sulphitic 625 584

6250 6875 6250 7053 6752 7592 6363 8500 703 642 648

easy 75-100mod 56-75 hard 0-55

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Charts allow visualization of taste panel recognition abilities

The beers that are bottle conditioned at 62 deg F whether normal or elevated yeast pitch measured having higher levels of diacetyl

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Brand Attribute Training

Determine what are the key attributes in your brand and associated descriptors

Find Reference Standards to demonstrate those attributes

Example Fruit note in Sierra Nevada Pale Ale is our yeast make yeast cake and serve side by side with the beer

As a Panel discuss changes in those attributes in different ages of beer

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Threshold Testing-ASBC Method of Ascending Limits

bull 6 triangle testsbull Go from lowest to highest concentration with threshold

in the middlebull Test samples increase in concentration usually 2-foldbull Get Best Estimate Threshold of group geometric

mean of the highest concentration missed and next higher (adjacent) concentration

bull Get an individual and panel BET average bull Take into account amount of compound in beer matrix

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Data collected at 2005 ASBC workshop by Everett Boiling

Number of Assessors 26Dilution Factor 2

6 Sample Form of Test Simple Aroma Only

0375 075 15 3 6 121 taster 1 N N Y Y Y Y 106 00262 taster 2 Y Y Y Y Y Y 027 -05763 taster 3 Y Y Y Y Y Y 027 -05764 taster 4 N Y N Y Y Y 212 03275 taster 5 N N N N Y Y 424 0628 fruity banana6 taster 6 N N Y Y Y Y 106 0026 banana7 taster 7 Y N Y Y Y Y 106 00268 taster 8 N N N Y Y Y 212 03279 taster 9 N N N Y Y Y 212 0327

10 taster 10 Y N N Y Y Y 212 032711 taster 11 N N Y Y Y Y 106 002612 taster 12 N N N Y Y Y 212 032713 taster 13 Y Y Y Y Y Y 027 -057614 taster 14 Y Y Y Y Y Y 027 -057615 taster 15 N Y Y Y Y Y 053 -027516 taster 16 N N Y Y Y Y 106 002617 taster 17 N Y N Y Y Y 212 032718 taster 18 N N Y Y Y Y 106 0026 Isoamyl acetate19 taster 19 N Y N N Y Y 424 0628 fruity banana20 taster 20 N N N Y Y Y 212 0327 fruity pear drop21 taster 21 N N N Y Y Y 212 032722 taster 22 N Y Y Y Y Y 053 -027523 taster 23 N N N N Y Y 424 062824 taster 24 N Y Y Y Y Y 053 -027525 taster 25 N N Y Y Y Y 106 002626 taster 26 Y Y Y Y Y Y 027 -0576

rving rder

NameConcentration ppm Individual

BET ppmThreshold Log 10

Description

THRESHOLD OF ISOAMYL ACETATEProcedure ASBC Sensory Analysis - 9 (Ascending Method of Limits)

Medium Miller High LifeScale Steps Isoamyl Acetate Aldrich Cat 112674 98

Statistical Summary

Group Best Estimate Threshold (BET) ppm = 109Sum Log 10 = 1114

Average Log 10 = 0056

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Graph of Individual Tasters BET

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

More than Performance Feedbackhellipsay Thank You

It takes a time and commitment to be on panel A lot of training is involved

Say ldquoThank yourdquo with a helliphelliphellip Post-sensory treatsnack Rewards Program-gift certificates prizes etc

(Frequent Tasters Reward Program) End of the year parties Positive Feedback-be a cheer leader Free Beer

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

SENSORY STATISTICSTRANSFORM YOUR SUBJECTIVE

TASTE PANEL INTO AN OBJECTIVE MEASUREMENT

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to

Understand your brandrsquos flavor profile TTB (trueness to brand) Know the difference between normal process variation process trends andor anomalies Consistency Identify and classify flavors and determine their desired levels for a given brand Then pinpoint their origins from grain to glassprocessing

Provide specific- technical- actionable flavor interpretations to help production correct flaws identify trends and better control the outcome of each brew

Keep it simple thorough repeatable reproducible test method and data analysis

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

What do I do with my production release data results

How bad is lsquotoo badrsquo Sellable vs non-sellable finished product

What is normalnatural process variation What is out of specification What warrants investigationHow can you avoid flavor shift over time Is the product defect enough to cause the consumer to

notice Complain RecallNeed to Move away from grading 1 out of 10 panelist (no go)

ne 90 A What about 3 of 20 85 B- 3 diacetyl comments

Move away from tests that generate limiting unactionable unrsquominersquoable data ndash scaling ttt Final score = 16- 76

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

(P)robability control charts-sleep well through the power of simple statistics

The perfect tool for Sensory Finished Product Release Panel Analysis

A p-chart (probability chart) is an attributes (ttb or not ttb) control chart that consists of points collected and plotted with the controlnatural process limits from data in subgroups of varying sizes (different number of and panelists every panel)

Think of the limits as the lsquovoicersquo of your process P-charts monitors normal variations whether your process is stable and predictable and determines whether a particular sample falls within the normal variation or falls outside and needs to be examined further Can also monitor the effects of process improvement theories (test brew validation) or spikes (panel validation)

P-charts can easily be created using simple excel add-ins that are pretty cheap and easy

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Production Release Ballot and Data Entry

Check it out-probability charts in actionhellip Looks like your normal data entry spreadsheet

O

isual

aroma

lavor

outhfeel

verall

VAFM

Sample 1 2 3 4 5 6 7 8 9

CO

MM

EN

TS

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Normal process variation

p-Chart

0000

0050

0100

0150

0200

0250

0300

0350

0400

0450

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Observations (Sample Number)

Prop

ortio

n

Proportion p-bar UCL LCL

UCL

LCL

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Out of Control data patterns- alert Your process is changing behavior

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Is your panel lsquoplugged inrsquo Validation via spiked sample

aroma

tasteaftertaste

mouthfeelbody

overall flavor

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

clarity trend

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Dec

ision

tree

-FY

IA

lert

-tr

end

In

vest

igat

e r

epor

t do

cum

ent

follo

w u

p

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

overall flavor out of control-not true to brand

diacetyl comments

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan

Identify ProblemAttribute (diacetyl comments and red OOC in aroma and overall)

Assignable Cause (slow fermentation t-down too early)

Corrective Action (flag tank measure diacetyl before t-down)

Hold the gains (change SOGs train on new procedure)

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

Taste Panel vs Sensory Program1 ID process method measurement owners

2 Initial Measurement Validation (MSA)

3 Implement and maintain applicable SOGrsquos

4 Training Protocol amp Records

5 Establish appropriate charts (Pcharts)

6 On going Validation Method

7 Calibration

8 OOCOOS Action Plan DevelopmentDecision Trees

9 First Pass Analysis- using OOCOOS Action Plan

10 Document First Pass Analysis in control chart

11 Cleaning the data set- Brewmaster Ready

12 TrendsPareto Analysis and Recommendations

13 Present in Quality Meeting

14 Transition to ProjectInvestigation ideation

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites

P CHART ADD-IN WEBSITES

bullhttpwwwisixsigmacomlibrarycontentn070223aaspbullhttpwwwqimacroscomqiwizardpcharthtmlbullhttpwwwpqsystemscomproductsSPCSQCpackbullwwwXLSTATcom

bullAll materials are sole property of New Belgium Brewing Company and should not be copied reproduced or used without permission

  • What is sensory analysis
  • Flavor defined by Morton Meilgaard
  • Flavor is made up of
  • What can we taste
  • Can you smell sweet
  • Trigeminal amp Tactile Sensation
  • Aroma
  • The Flavor Unit
  • BASIC TRAINING
  • WHO
  • HOW and WHEN
  • BEER SCHOOL
  • YOUR BEER
  • Vocabulary amp Recognition
  • Teaching What and Why
  • BUILDING BLOCKS
  • Flavor Wheel
  • SETTING UP FOR SUCCESSTeach the Basics and Share as Much as Possible
  • MOTIVATION
  • Training Validation and Feedback of a ProductionMarket Release Panel
  • Why is it important to have a trained and validated panel
  • What is a Production Release Panel
  • Training Process-Production Release Panel
  • What to train with
  • Next Steps
  • Types of Training and Test Methods
  • Tasters report from test session-taste panelists are known by a 4 digit code
  • Off Flavor Recognition- Spreadsheet
  • Charts allow visualization of taste panel recognition abilities
  • Brand Attribute Training
  • Threshold Testing-ASBC Method of Ascending Limits
  • Slide Number 32
  • Graph of Individual Tasters BET
  • More than Performance Feedbackhellipsay Thank You
  • SENSORY STATISTICSTransform your subjective taste panel into an objective measurement
  • Beerrsquos job is to deliver 10 minutes of pleasurehellip So we need to
  • What do I do with my production release data results
  • (P)robability control charts-sleep well through the power of simple statistics
  • Production Release Ballot and Data Entry
  • Slide Number 40
  • Normal process variation
  • Out of Control data patterns- alert Your process is changing behavior
  • Is your panel lsquoplugged inrsquo Validation via spiked sample
  • clarity trend
  • Decision tree- FYIAlert- trend Investigate report document follow up
  • Slide Number 46
  • overall flavor out of control-not true to brand
  • Slide Number 48
  • Each lsquoout of specrsquo scenario needs to flow like this hellip Closed Loop Corrective Action Plan
  • Taste Panel vs Sensory Program
  • P chart add-in websites