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May 27, 2011 1 Welcome to Risk-Based Drug Quality System Satendra K Vishwakarma PhD FDA & ICH JOINT PROPOSAL FOR DESIRED STATE Revisit Presentation By

Designing Of Pat Based Quality System

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Page 1: Designing Of Pat Based Quality System

May 27, 2011 1

Welcome to

Risk-Based Drug QualitySystem

Satendra K Vishwakarma PhD

FDA & ICH JOINT PROPOSAL FOR DESIRED STATE

Revisit Presentation By

Page 2: Designing Of Pat Based Quality System

May 27, 2011 2

Announcement

The contents, views and graphics, in this presentation, are collected from various sources.

Presenter of this presentation believes that all the reported materials are Up-to-Date and is ONLY for

INFORMATION, NOT for IMPLEMENTATION.

For more Information, visit FDA & ICH web sites.

Thank You

Page 3: Designing Of Pat Based Quality System

May 27, 2011 3

Current State of Affairs in Pharma Industry.

Introduction – Summary of ICH Quality Topics.

Desired Guiding Principles & Fulfillments.

Why best available science-based policies and standards.

Identification of desired state of qualitymanufacturing by design space.

Manufacturing process science and understanding of critical controls (PAT).

Risk- based quality review and management.

Summary, Thoughts & Questions.

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May 27, 2011 4

UNDERSTANDING THE BASICS

Solid Dosages Generic Formulations

Purity CheckSame Drug

Rigorous Manufacturing Standards

Quality standards comparable to Reference Listed Drug (RLD)

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May 27, 2011 5

INDUSTRY FACTORS■ Reluctance to innovate / invest in manufacturing sector

compared to R&D.

■ Most processes are fixed with variable materials, resulting in variable quality of product.

■ Emphasis on getting product out discourages early work on process and changes after marketing.

PRODUCT FACTORS■ Increasing trend towards manufacturing-related problems.

■ Low manufacturing process efficiency-cost implications.

■ Excessive amounts of product non-conformances/OOS.

■ Slow innovation, modernization & technologies adoption.

■ Rising trend of recalls 176/1998–354/2002 & Supplements.

Current State of AffairsThesis of Critical Path : There has been a Failure of Predictability

Introduction

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REGULATORY FACTORS■FDA’s emphasis was on institution of basic

procedures and recordkeeping--evolved to cGMP.

■Empirical quality methodologies are approaching their theoretical effectiveness.

■High burden on FDA resources.

OVERALL CONCLUSION

“The present state is focused on documentation, following SOPs validating the process, changing SOPs meeting specifications, and not changing the process leading to high risk of drug efficacy and public health.”

Current State of AffairsThesis of Critical Path : There has been a Failure of Predictability

Introduction

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May 27, 2011 7

Inadequate QA

Functions 2%

Inadequate SOP 2%

Facility withdrawn

3%

Previous Deviations

persists 7%

Others 15%

Drug not made at site

8%

Contamination 13%

Pending Regulatory

Action 18%

Firm Not Ready 25%

Inadequate Lab

controls 7%

Findings & RecommendationsCurrent Affairs

Thomas J Arista, FDA’s Data Sep 2003 – April 2004

FDA’s Risk-Based “cGMPs for the 21st Century”

“PAT Initiative” and “Generic Drug Equivalence”

issues are on the agenda.

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May 27, 2011 8

FUTURE CHALLENGES AND OPPORTUNITY

■ Currently FDA attempting to drive innovation and investment in manufacturing sector via compliance / enforcement actions.

■ New level of scientific understanding & new technologies can provide Science & Engineering-Based Approach over Rule-Based Approach.

Product quality achieved and assured by design of processes. Product specifications based on mechanistic understanding of how formulation and process factors impact product performance.

■ Accelerate GGP, setup and adopt ICH Q6A + PAT-based efficient approach (as a platform) to achieve ICH Q10.

Desired State of 21st CenturyVision

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May 27, 2011 9

Desired State of 21st Century

SCIENCE & RISK – BASED REGULATORY

APPROACH

■ Regulatory support and flexibility during development &

implementation.

■ Regulatory policies tailored to recognize the level of

scientific knowledge supporting product applications,

process validation, and process capability.

■ Risk-based regulatory scrutiny relate to the level of

scientific understanding of how formulation and

manufacturing process factors affect product quality

and performance, and the capability of process control

strategies to prevent or mitigate risk of producing a

poor quality product.

Vision

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May 27, 2011 10

OVERALL CONCLUSION

■ “The desired state, by contrast, would focus on data analysis, understanding critical to quality attributes, measuring process capability, performingcontinuous quality verification, and undertaking continuous improvement to maintain consistent product quality.”

■ Minimize risks of poor process quality and reduce (regulatory) concerns.

Desired State of 21st CenturyVision

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GMPSPECIFICATIONDESIGN ICH Q1 Stability

ICH Q2 Analytical Procedures

ICH Q3 Impurities

ICH Q4 Pharmacopoeia

ICH Q5 Biotechnological / Biological Products

ICH Q6 Specifications

ICH Q7 current GMPs / current GGPs

ICH Q8 Pharmaceutical Development

ICH Q9 Quality Risk Management

ICH Q10 Quality Management

M4 Q Common Technical Document

Visit ICH Web Page for Guideline details on definition, development,

extensions, revision or maintenance.

Guidelines

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Highlights of ICH Q6AGuidelines

Specifications

Test Procedures and Acceptance Criteria for New

Drug Substances and New Drug Products.

Definition of Specification

A list of tests, references to analytical procedure,

and appropriate acceptance criteria which are

numerical limits, ranges, or other criteria for the

tests described.

Consistency

Purity

Identity

Characterization

Potency

Degradation / Impurity

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May 27, 2011 13

Pharmaceutical Development

ICH

Q6

A:T

erm

ino

log

yD

ecis

ion

Ch

ara

cte

ris

tic

s

CURRENT STATE : TESTING TO DOCUMENT QUALITY

ICH

Specifications

In Process Controls

Development

Design

Process Validation

GMP Controls

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May 27, 2011 14

The Goal and Characteristics of

Pharmaceutical Quality Decision

System

“The quality of drug substances and drug

products is determined by their design,

development, in-process controls, GMP

controls, process validation, and by

specifications applied to them throughout

development and manufacture.”Ch

ara

cte

risti

cs Goal

Life-cycle

ICH Q6A

Ajaz S. Hussain CDER FDA Ball State University Muncie, IN, 2005

PAT

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May 27, 2011 15

Therapeutic Equivalence Matter

Current Paradigm 21st Century Paradigm

Same Drug, Strength,

Dosage form, Safety, Quality

Same Drug, Strength,

Dosage form, Safety, Quality

+Pharmaceutical

Equivalence

+Quality by Design

(Designed to be equivalent )

+Bioequivalence +Verified by in-vivo Testing

(Demonstrate bioequivalence)

= Therapeutic Equivalence = Therapeutic Equivalence

Modified from Robert Lionberger, Office of Generic Drugs, FDA

Pharmaceutical Product Development Information (PPDI)

(ICH CTD, ICH Q8) in ANDA may help OGD be more efficient.

PPDI is an opportunity and the only existing mechanism to

justify rational specifications & emphasize quality by design.

Pharmaceutical Product Development Information

ICH

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May 27, 2011 16

Absent or

variable in

US CMC

Sections

What is the ICH Q8 Opportunity?

Specifications

In Process Controls

Development

Design

Process Validation

GMP Controls

ICH

ICH Q8

“…where the provision of greater understanding of pharmaceutical and

manufacturing sciences can create a basis for flexible regulatory approaches.”

DESIRED STATE : DESIGNING TO BUILD QUALITY

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Desired State and Regulation

Science based mechanistic process understanding & development & improvement.

Process integrated quality manufacturing and process control system.

Predictability quality by design & design space.

Consistency quality system guidelines assuring the processes, performing continuous quality verification, undertaking evaluation and continuous improvement.

Regulatory science knowledge in control, simulation, process, preformulation, bioceutics.

Risk based approach for quality attributes, comprehensive CMC & ANDA review.

PAT

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May 27, 2011 18

ICH Q8 Journey

Product specifications based on mechanistic

understanding of how formulation and process

factors impact product performance.

Product quality and performance achieved and

assured by design of effective & efficient

(robust) manufacturing processes (QbD).

An ability to effect continuous improvement &

continuous "real time release" assurance of

quality.

CMC: The Desired State

"real time release“ means Quality Control Reduction of End Product

Release Testing

ICH

Page 19: Designing Of Pat Based Quality System

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FDA Journey

Science & Risk based Specifications.

Greater product and process knowledge allows regulatory decisions based on actual risks (Mantra : Increase Analytical & Statistical tools to reduce Source of Process Variabilities and relate to Clinical Relevance).

Define design space and manage the changes within design space (Mantra : Manage your own SUPAC Concept & Real Time Release).

FDA Review: The Desired State

Design Space is the established range of scientific parameters that

has been demonstrated to provide assurance of quality.

PAT

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Quality by Design

Process Design

cGMP/CMC FOCUS

Design qualification

MECHANISTIC

UNDERSTANDING

CAUSAL LINKS

PREDICT PERFORMANCE

DECISIONS BASED ON

UNIVARIATE APPROACH

DATA DERIVED FROM

TRIAL-N-ERROR EXPERIMENTATION

First

Principle

Focused; Critical

Process Control Points (PAT)

Yes, Limited to

Experimental

Design Space

Maybe,

Difficult to

Assesses

Extensive;

Every Step

(Current)

Product & Process Quality Knowledge

Science-Risk Based CMC & cGMPs

Concept initiated by Ajaz S. Hussain, CDER, FDA, PQRI 2005

PAT

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May 27, 2011 21

Process Capability

Sta

bil

ity

Va

ria

bil

ity

Modified from Original Concept Ajaz S. Hussain, CDER, US FDA

Variability

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Total variability σ2Total

■ The overall understanding of variation contributed by measurement systems and product components is critical for statistical analysis. Assuming independent variable –

■ σ2Product + σ2

Measurement = σ2Total

■ + =

■ σ2Measurement = σ2

Repeatability + σ2Reproducibility

Common Cause Vs. Special Cause Variability

Process capability = Customer Needs / Process Ability

Measuring Process VariabilityVariability

Modified from Lucinda Buhse, Division of Pharmaceutical Analysis, FDA

True Product Variation Measurement Variation Experimental Variation

Page 23: Designing Of Pat Based Quality System

May 27, 2011 23

Analytical Variability ControlC

hem

ical In

form

ati

on

Co

nte

nt

SEM/EDS

NIR

Luminescence

UV-Visible Absorbance

SEM

Mid-IRRaman

Increasing Molecular Size or Molecular Complexicity

Chemical Imaging Technologies…Next?

VariabilityH

igh

Sp

eed

Mo

lecu

lar M

icro

sc

op

y

an

d D

ata

Pro

cessin

g

Finger Printing Molecular State and Complexicity in Process

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May 27, 2011 24

FDA’s PAT Journeyfrom “Testing Quality in…” to “Building Quality in…”

Process Analytical Technology (PAT) is a

system for designing, analyzing, and

controlling manufacturing processes based

on timely measurements (i.e., during

processing) of critical quality parameters

and performance attributes of raw and in-

process materials and processes to assure

acceptable end product quality at the

completion of the process.

Pharmaceutical Process Analytical Technology

PAT

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Process Analytical Technology involves optimal applications of process analytical chemistry tools, feedback process controlstrategies, information management tools,and /or product /process optimization strategies to the manufacture of pharmaceuticals.

Note The term Analytical in PAT is viewed broadly to include chemical, physical,microbiological, mathematical, and risk analysis conducted in an integrated manner.

FDA’s PAT Journey

Pharmaceutical Process Analytical Technology

from “Testing Quality in…” to “Building Quality in…”

PAT

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FDA’s End of PAT Journey

You Said for Process Analytical Technology

The goal of PAT is to understand and control the

manufacturing process science – Ajaz S. Hussain

<<The quality can not be tested into products;

it should be built-in or should be by design>>

Change is inevitable – except from vending

machine – Robert C. GallagerIt is not mandatory to change. Survival is not

mandatory – W. Edward Deming

= ∫∫∫ SbK + QbD + QbR ?PATQuality by

from “Testing Quality in…” to “Building Quality in…”

PAT

Page 27: Designing Of Pat Based Quality System

May 27, 2011 27

Six

Sigma

Quality

System

KNOWLEDGE–BASED QUALITY

Modified from Ajaz S. Hussain, CDER, FDA, PQRI 2005

“The cGMP” “The Big Q or GMP +”

Moving Towards cGMP End Point

PAT

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Good Guidance Practices

Understand and Define

What is the scope of problem?

Measure

How frequent is it occurring?

Analyze

What are the root cause of problem?

Improve

How can we fix the process?

Control

How can we assure the process stays fixed?

6 S

I G

M

A

FDA’S CMCs & cGMPs

Quality and

Customer

Regulatory Strategy

Manufacturing Designand Quality Solution

Quality Formulation Development and Technology Transfer

Materials, Reverse-engineering, Analytical Supports and Information Technology

Beginning of End

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May 27, 2011 29

Risk or question–based CMC Review concentrate on Scientific Relationship between CMC and theProduct Characteristic and its ultimate impact onTherapeutics Performance as promised in the label to the customer.

The objectives of QbR System are to transform CMC REVIEW into science- and risk- basedpharmaceutical quality assessment that incorporates the CONCEPT & PRINCIPLES of Pharmaceutical cGMPs for the 21st Century : A Risk-Based Approach and Process Analytical Technology initiatives. QbR acts as an interface.

Risk–Based ReviewQuestion–Based Review for CMC and ANDAs

QbR

FDA Regulation in FLEXIBILE STATE on DESIRED STATE

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Science is understanding variability and reproducibility

in nature.

Chemometrics / Statistics is making decisions about

nature in the presence of variability.

Experimental Design is reducing and controlling

variability in ways which make statistical theory

applicable to decisions about nature.

Justification of design trials and statistical aspects

should be set out in the protocol.

Confirmatory Trials are necessary to provide firm

evidence of efficacy and safety.

Evaluation of Evidence and decision on approvability.

Risk–Based Review QbR

The Major Critical Review Areas

“Quality can not be assessed, tested or inspected into the

product. It has to be built into it.”

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May 27, 2011 31

Risk–Based Review QbR

ICH Q8 – Drug Product Development Report.

M4Q eCTD - Drug Product Guidance.

cGMP Initiative – Quality by Design, mechanistic

understanding (Formulation, Polymorphism, and

Product Performance). Process Development Report.

Risk Assessment – SUPAC, In-vitro Performance Test

vs In-vivo QC Dissolution and Product’s Identity,

Stability, Strength, Purity and Quality, etc….etc….etc….

1. Assure product quality through the design and

performance-based specifications. Reduce OOS.

2. Maintain continuous improvement & reduce CMC

Supplements/Amendments through risk assessment.

3. Enhance review quality through review questions.

The Major Critical Review Chapters

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Risk–Based Review Current

One size fits all including BE criteria.

Question-based Review

Three-tiered assessment of manufacturing

Tier 1 applies to all dosage forms.

Tier 2 applies to dosage forms that are not solutions (Equivalent to current practice).

Tier 3 applies to dosage forms that are not solutions, IR tablets, or IR capsules.

Process development report – CTD, ICH Q8

Strongly recommended for dosage forms that are not solutions, IR tablets, or IR capsules.

QbR

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MANUFACTURING PROCESS SCIENCE

DRUG (s)

IN-VITRO PHYSICAL

CHEMICAL ATTRIBUTES

EXCIPIENTS

Gastrointestinal Track

PHYSICAL-CHEMICAL

PROPERTIES

PHYSIOLOGICAL

VARIABLESWhole Body

Bioavailability

PHARMACOKINETIC

PROPERTIES

IN-VIVO PHYSICAL

CHEMICAL ATTRIBUTES

PHYSICAL-CHEMICAL

PROPERTIES

Elements of QbD : Bioavailability

Formulation Science & Design

FORMULATION

CLINICAL

PROPERTIES

QbR

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Core Formulation

Functional

Activities

Method

Development

Optimization

Method

Validation

Transfer

In vitro

Release

Testing

Analytical Testing

Procedures

Specifications

Reference

Standard

Characterization

Reverse

Engineering

Vendor

Qualification

Stability

Evaluation

Early and

Preformulation

Formulation Science & DesignQbR

Significance of Connectivity and Longevity in

Product Development through PAT

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Drug

Characteristics

PC and Stability

Disintegration

of

FormulationDrug

Dissolution

Drug

Absorption

Drug

DistributionDrug

Metabolism

Drug

Excretion

Bioequivalence____________________________________

Bioavailability

Formulation Science & DesignQbR

Significance of Connectivity and Longevity in

Product Development through PAT

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Why Design Process Critical to FDA?

Quality by Design paradigm.

Product Development Information Report is where you demonstrate the drug is highly variable. Source of Variability (Mechanistic Understanding).

Drug Substance (common between Generic & RLD), Formulation (Generic Biostudies could be higher/ lower)

Justify use of Bioequivalence Study design other than 80-125% confidence interval.

Product development report is where you justify equivalence of design.

Formulation Science & DesignQbR

Lawrence Yu, Office of Generic Drugs, FDA, 2004

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May 27, 2011 37

Variability in API and inactive ingredient group (IIG).

Formulation design: rapid release.

Demonstrate by dissolution comparison under physiologically relevant conditions.

Waive if BCS class I.

Confirm with in vivo study.

Variability in the formulation of RLD.

Design for equivalence begins with characterization of RLD.

Generic product should recognize variability is an issue and target the mean performance.

Current system: no reward for generic that is less variable.

Formulation Science & DesignWhy Design Process Critical to FDA?

QbR

Lawrence Yu, Office of Generic Drugs, FDA, 2004

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Formulation Science & Design Current Practice

Reasons for design decisions not fully explained.

Example of Deficiency

The drug substance has a primary amine group. Spray dried lactose is used as a diluent in the formulation.

Please discuss potential drug -excipient interaction.

Question - based Review (QbR)

Q: What is the formulation intended to do? (IR,MR, CR)

Q: What mechanism does it use to accomplish this?

Q: Were any other formulation alternatives investigated and how did these perform?

Q: Is the formulation design consistent with the dosage form classification in the label?

QbR

QbD

SbK

PAT

Modified from Gary Buehler & Lawrence Yu, OGD, FDA, 2005

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Understand what the RLD is supposed to do and Origin of Variability.

Design for Equivalence.

Directly evaluate Equivalent Product Performance –verify the design.

Use Bioequivalence Study Design for highly variable drugs.

Review Pharmaceutical Development (Quality by Design) Report.

Understand what the problem is, as well as the real fundamentals i.e. physical and chemical parameters.”

Make coherent, science based decisions.”

Formulation Science & DesignProduct Design for an ANDA of a Highly Variable Drug

QbR

Lawrence Yu, Office of Generic Drugs, FDA, 2004

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QbR

Manufacturing Process Science

Current Practice

Limited information submitted

Example of Deficiency

Please explain how you will provide assurance that the product batches are mixed adequately”

Question-based Review

Q: How were the critical steps in the process identified?

Q: What are the critical process parameters for each critical step and how were they identified, monitored, and/or controlled?

Modified from Gary Buehler Director, Office of Generic Drugs, FDA, 2005

QbD + PAT

PAT + SbK

PAT + SbK

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Measuring and Development Data

Protocols are roadmap for required Data Quality.

Identification of all critical steps and variables.

Science-based specification and controls allow focus

on high risk areas to reduce supplements.

Lack of adequate development data suggests –

■ Possibility of unidentified critical steps.

■ Higher risk in post-approval changes.

When “Best Practices” are employed

■ Risk of poor product quality is minimized.

■ Lower risk in post-approval changes will allow

down regulation of reporting category.

Control of Variability through Intelligent Automation

Beginning of End

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Take Home PointsEstablish formulatory material search and

match data base library within organization.

A fundamental scientific premise is that quality cannot be tested into a product. Rather, quality must be built into the product throughout the manufacturing process; one cannot assure quality by testing for it at the end of the manufacturing process or at a later point.

Design, evaluate and document preformulation & formulation development study protocols.

Optimized formulation variables at early stage of development. (pay now or pay later).

Summary

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Take Home PointsBetter utilization of modern scientific, technical,

and chemometrics tools for pharmaceutical

product design space at the ground level.

Implement proper physiocharacterization

techniques, In Silico tools, Linear accelerated

temperature range effects on degradation.

Established qualified links between materials,

process, product and application (MPPA).

ICH Q6A – A suitable starting place for the

generic industry and regulators to move from

current state to ICH Q8, Q9, Q10 – desired state.

Summary

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Take Home PointsPharmaceutical Development is a learning

process that describe both success and failures as a part of the story which demonstratesQuality by Design (QbD) and Design Space.

Early awareness on science - based review / question - based review after submission –development cycles, formulation time, formulation manufacturing parameters (critical process parameters), cycle deviation, etc.

Depend more on scientific justification and onin-process testing, not on end product testing, when making regulatory decisions.

Summary

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Technology Replaces Technology

“Majority of current off-line chemical

analytical methodology is equivalent to

narrow range pH test strips.”

A Fundamental Analytical Variability

Thoughts

“eCTD Drug Submission is a 1-Step

Synthesis. QbD demands to change from

Current Solution State to Solid State

Technology to minimize Process and Drug

Quality Risk.”

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AcknowledgementsAjaz S. Hussain

&

FDA’s Visionary PAT TeamOut of Control (OOC)?...... Just like OOS and OOT?

Page 47: Designing Of Pat Based Quality System

May 27, 2011 47

Thank You

Are you ready to move on to PAT from PAC?

Page 48: Designing Of Pat Based Quality System

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“If we can’t describe scientifically and technologically what

we are doing as a process, we don’t know what we’re doing.”