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Towards establishing uniform validation procedures in Sasol analytical laboratories
Towards establishing uniform validation procedures in Sasol analytical laboratories
Piet de ConingVina Thakally-GovenderPiet de ConingVina Thakally-Govender
Copyright reserved – Sasol Technology R&D
Overview of Sasol processes
Copyright reserved – Sasol Technology R&D
Sasol global involvement
Copyright reserved – Sasol Technology R&D
“Cleaner” fuels
Clean fuels burn cleanly
Emissions benefits are immediately realisable
GTL Diesel Low sulphur refinery diesel
Particulate emissions
Acidifying emissions(SOx and NOx)
upstream
production
transport
use
upstream
production
use
Copyright reserved – Sasol Technology R&D
Method format
Based on ISO 78-2
Divided into five sections
Site specific cover page
Document informationNumber, Date, Revision history, Distribution, etc.
Method summary – Not IP sensitiveCan be copied for reports
Procedure – May be IP sensitiveSome methods are proprietary, others licensed e.g. ASTM
Typical data
Excluded from the method
Validation dataIssued as a separate report
Site and instrument specific proceduresDocumented as Standard operating procedures or Work instructions
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Why should methods be validated?
Officially:To prove that a method is fit for its purpose
Practically:To protect the analyst from unreasonable demands / expectationsTo increase confidence in the analytical ability of the analyst / laboratoryTo facilitate laboratory managementTo give the analyst increased confidence in his/her results
Why estimate the measurement Uncertainty ?
Officially:It is an ISO requirement: Result = value + uncertainty + units
Practically:It sums up most of the validation in a single figureUncertainty = Confidence
Copyright reserved – Sasol Technology R&D
Why are methods not validated?
It is not necessaryHighly qualified scientists
We have Integrity
But – do we have documented evidence of this that will stand up in court?
It costs too muchNot so, if offset against product failure and loss of sales
We do not have the time“Strangely there is never enough time to do things properly, but yet we always seem to find the time to do things over”
The equipment is the best and maintained by qualified service engineers
“Never before has it been so easy, and with so little effort, to produce bad results”
AttitudeAnalytical chemistry is the poor relative of the chemistry disciplines
“It is not that people are ignorant, it is just that they know so much that isn't so”
CEO office
Seniormanagement
Finances
Staffcaffeteria
Foyer with pot plants
Streetlevel
entrance
Centralair
conditioningBuildingutilities
Analyticallaboratory
Executive car park
Executiveboardroom
Humanresources
Sales
Typist pool
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How?
ValidationDo only what is required to establish fitness for purpose
Do only what can be ...
Incorporated in the method uncertainty
Be used in the routine application of the method
Do additional validation tests only when ...
Specifically requested by the customer
The analyst considers it necessary
UncertaintyEstablish the purpose
Determine uncertainty requirement (how detailed?) in terms of
Method purpose
Customer requirements
Analyst’s experience & evaluation
StatisticsUse standard statistical tests at 95% confidence
Copyright reserved – Sasol Technology R&D
The requirement specification
Establish the purpose
From this follows a validation plan
Copyright reserved – Sasol Technology R&D
What ?
AccuracyThe single most important parameterDepends on:
CalibrationTruenessPrecision
UncertaintyDetermined from:
CalibrationTruenessPrecision
Uncertainty is the numerical value of the accuracy!
Determined during method development:
Specificity / SelectivityRobustness / RuggednessRecovery - correction
Determined from method calibration
SensitivityRangeQuantitation limits
upperlower
Detection limit
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Calibration
Grubb’s tests
The linearity, slope, intercept and regression uncertainties - from Excel ANOVA function
The formula for conc. calculation provided
Range = LQL – UQL= lowest – highest standard
Calibration curve with prediction limits
Prediction limits used for MDL calculation
Regression significance tested with t- and F-tests
Fit evaluated using P-value and residual plots
P-value on std.dev. used to determine if WLS should be used
Several weighting models providedCopyright reserved – Sasol Technology R&D
Accuracy
Accuracy as truenessThree ways of doing it
Trueness by comparison with a reference standard
Trueness using a recovery study
Trueness by comparison with an alternative method
Accuracy as precisionRepeatability
Same analyst, same instrument, short time-scale
Reproducibility
Different analysts, different instruments, extended time-scale
Intermediate precision
Between repeatability and reproducibility
Precision limit
Qualitative analysesFalse positives and false negatives
RtR 2
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Uncertainty
Uncertainty is a lot more uncertain
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Implementation
The validation manualValidation philosophy
Validation procedures
Tools – generic formats, spreadsheets and workbooks
Statistical and mathematical procedures
PresentationsManagement: High level overview – essentials
Supervisors: More detailed presentation
WorkshopsLaboratory personnel
Selected methods
Next stepsIncorporate suggestions and criticism (e.g. flowcharts)
Benchmark validation procedure
Continued improvement
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Acknowledgements
The Validation workgroup:Anna Potgieter (Sasol Infrachem laboratories)
Johann Drews (Sasol Infrachem laboratories)
Madelyn Bekker (Sasol Waxes)
Martiens Henning (Sasol Secunda Shared Services)
Rene Engelbrecht (Sasol Infrachem laboratories)
Roos van der Heide (Sasol Solvents)
Vina Thakally-Govender (Sasol Technology R&D, Analytical Solutions)
Special acknowledgement:
Prof. Willem de Beer (Tswane University of Technology)
Angelique Botha (National Metrology Institiute of South Africa)
David Coleman (Applied Statistician, Alcoa Technical Center, PA, USA)
Lynn Vanatta (Air Liquide-Balazs™ Analytical Services, TX, USA)
piet.deconing @ sasol.comCopyright reserved – Sasol Technology R&D