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Method Validation in Regulated Lab

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Title: Method Validation in Regulated Lab


1
Waters Korea Ji Yeon Kim
  • Method Validation in Regulated Lab

2
Laboratory Method Flow
3
Why Validate?
  • Method validation is completed to insure that an
    analytical methodology is accurate, reproducible
    and rugged over the specific range that an
    analyte will be analyzed.
  • Method validation provides assurance of
    reliability.
  • FDA Compliance

"The process of providing documented evidence
that something does what it is intended to do."
4
The Process of Validation
Method Validation
Instruments
Validation


System Suitability
Software
5
Analytical Method Validation
  • Initial Method Validation Guidance Issued in 1987
  • Guideline for submitting samples and analytical
    data for methods validation. Food and Drug
    Administration, February 1987. US Government
    Printing Office1990-281-79420818.
  • Updated in August 2000 (Draft Guidance!)
  • Analytical Procedures and Method Validation.
    Fed. Reg. 65(169), 52,776-52,777, 30 August 2000
  • LC/GC article also available _at_ www.waters.com
  • All Guidances are on FDA Web site
  • www.fda.gov/cder/guidance

6
Impact of ICH on Method Validation in the USA
  • USP 24, Chapter 1225 Updated to Reflect ICH
    Process
  • ICH validation guidelines are implemented
  • ICH is not Another Regulatory Agency
  • USP Guidelines are still appropriate
  • Draft Guidance Update
  • Other Countries Also Have Incorporated or Adopted
    ICH Guidelines

7
(No Transcript)
8
FDA Method Validation Compliance1987 Position
Paper
  • United States Pharmacopeia or the National
    Formulary (USP/NF) specifications
  • Current edition USP 24, NF 19, 2000
  • Can still be defined as "The Eight Steps of
    Method Validation" (Chapter 1225)

Update in Process
9
USP Method ValidationAnalytical Performance
Characteristics
Precision
Accuracy
Limit of Detection
Limit of Quantitation
Method
Specificity
Validation
Linearity and Range
Ruggedness
Robustness
10
ICH Method Validation Analytical Performance
Characteristics
11
Analytical Performance CharacteristicsDefinition
of Accuracy
  • The closeness of test results to the true value
    obtained by the method.
  • Established across the range

12
Analytical Performance Characteristics
Determination of Accuracy
  • Drug Substance
  • Analysis of reference material
  • Compare results to a second, well-characterized
    method
  • Drug Product
  • Analysis of synthetic mixtures spiked with known
    quantities of components
  • Compare results to a second, well-characterized
    method
  • Determined concurrently with precision, linearity
    and specificity

13
Analytical Performance Characteristics
Determination of Accuracy
  • Impurities (Quantitation)
  • Analysis of samples (Drug substances/Drug
    product) spiked with known amounts of impurities
  • If impurities are not available, see specificity
  • Recommended Data
  • Minimum of 9 determinations over a minimum of 3
    concentration levels covering the specified range
    (e.g. 3 concentrations/3 replicates each)
  • Reported as recovery of known, added amount, or
    difference between the mean and true value, with
    confidence intervals

14
Analytical Performance CharacteristicsDefinition
of Precision
  • Precision
  • The measure of the degree of agreement among test
    results when the method is applied repeatedly to
    multiple samplings of a homogeneous sample
  • Expressed as RSD for a statistically significant
    number of samples

15
Analytical Performance Characteristics
Definition of Precision
  • Precision Should Be Performed at Three Levels
  • Repeatability
  • Intermediate Precision
  • Reproducibility

16
Analytical Performance Characteristics
Determination of Precision
  • Repeatability (Generally the criterion of concern
    in USP analytical procedures)
  • Same operating conditions, short time interval
  • Inter-assay precision
  • Minimum of 9 determinations covering specified
    range of procedure
  • (3 levels, 3 reps each), or
  • Minimum of 6 determinations at 100 test conc.
  • Intermediate Precision (Experimental design
    recommended)
  • Within-lab variations (Random events)
  • Different days, analysts, equipment
  • Reproducibility
  • Precision between labs
  • Collaborative studies

17
Analytical Performance CharacteristicsDefinition
of Specificity
  • Specificity (Selectivity)
  • The ability to measure accurately and
    specifically the analyte in the presence of
    components that may be expected to be present in
    the matrix
  • The degree of interference
  • Active Ingredients
  • Excipients
  • Impurities
  • Degradation Products
  • Placebo Ingredients

18
Specificity (Selectivity)
  • Separation
  • Resolution
  • Determination of separation between peaks
  • Plate Count
  • Determination of a systems efficiency
  • Tailing Factor
  • Calculation referencing peak shape
  • PDA
  • Purity Angle
  • Purity Plots

19
Analytical Performance CharacteristicsDeterminat
ion of Specificity
  • Qualitative Identification Tests
  • Demonstrate ability to select between compounds
    of closely related structure
  • Confirm positive and negative results
  • Assay
  • Demonstrate that the results are unaffected by
    spiked impurities or excipients
  • Impurities
  • Spike the drug product/substance with impurities
    and demonstrate appropriate accuracy and precision

20
Analytical Performance CharacteristicsDeterminat
ion of Specificity (Cont.)
  • Impurities Are Available
  • Demonstrate that the assay is unaffected by the
    presence of spiked materials (impurities and/or
    excipients).
  • Impurities Are Not Available
  • Compare test results to a second
    well-characterized procedure
  • For Assay, compare the two results
  • For Impurity Tests, compare impurity profiles
  • Peak Purity Test ("diode array, MS")

21
More Changes Courtesy of ICHSpecificity
22
Peak Purity Calculations
  • What is Needed?
  • Some Degree of Chromatographic Resolution
  • Compounds must have UV Absorbance
  • Some Degree of Spectral Differences Between
    Compounds

23
Spectral Contrast Theory of Empower
  • Comparison of the two vectors A and B -
    calculation of angle ?
  • If A and B totally different, ? 90
  • If A and B totally identical, ? 0

24
PDA and MS Together

PDA and MS together can provide complimentary
useful information.
25
Method Validation and PDA/MS
Validation SOP Choice
Detector in Routine Use
Detector to Validate Method Only
Vs.
All Detector Use/Information Considered Robustness
Linearity Precision Etc.
Peak Homogeneity Peak Identity
26
Analytical Performance CharacteristicsDefinition
of Detection Limit
  • Detection Limit (LOD)
  • Lowest Concentration of Analyte in a Sample That
    Can Be Detected (not necessarily quantitated)
  • Limit Test Above or Below a Certain Level
  • Expressed as Concentration (, ppb)
  • Almost never necessary to determine actual
    detection limit
  • Rather, limit is shown to be sufficiently low
    (e.g. 0.1)

27
Analytical Performance CharacteristicsDeterminat
ion of Detection Limit (DL)
  • Visual (Non-Instrumental Methods)
  • Signal To Noise Ratio (3 or 21 Generally
    Accepted)
  • Detection limit may be based on the standard
    deviation of the response and slope

DL (3.3)STD/S
28
Limit of detection/Limit of quantitation
29
Analytical Performance CharacteristicsDefinition
of Quantitation Limit
  • Limit of Quantitation (LOQ)
  • Lowest concentration of analyte in a sample that
    can be determined with acceptable precision and
    accuracy under stated operational conditions
  • Expressed as the Concentration of Analyte
  • Accuracy
  • Precision

30
Analytical Performance CharacteristicsDeterminat
ion of Quantitation Limit
  • Visual (Non-Instrumental Methods)
  • Signal To Noise Ratio (101 is Typical)
  • Quantitation limit may be based on the standard
    deviation of the response and slope

31
Analytical Performance CharacteristicsDefinition
of Linearity and Range
  • Linearity
  • The Ability of the Method to Elicit Test Results
    That Are Directly Proportional to Concentration
    Within a Given Range
  • Expressed as the Variance of the Slope of the
    Regression Line
  • Range
  • Interval between upper and lower levels of
    analyte demonstrated by the method
  • Precision and Accuracy Expressed in the same
    units as the test results

32
Analytical Performance CharacteristicsEvaluation
of Linearity
  • Established across the Range of the method
  • Dilutions
  • Separate Weighings
  • Evaluate by Appropriate Statistical Methods (e.g.
    Regression)
  • Include Correlation Coefficient, y-Intercept,
    Slope, Residual Sum of Squares, Plot Itself
  • Minimum 5 Concentrations

33
Analytical Performance CharacteristicsDeterminat
ion of Appropriate Range
  • Minimum Specified Ranges
  • Assay
  • 80-120
  • Impurity Test
  • From QL to 120 of spec.
  • Toxic or more potent impurities commensurate
    with the controlled level
  • Content Uniformity
  • 70-130 of test concentration
  • Dissolution Testing
  • /- 20 over specified range

34
Analytical Performance CharacteristicsDefinition
of Ruggedness
  • Ruggedness
  • Degree of reproducibility of test results under a
    variety of conditions
  • Different Laboratories
  • Different Analysts
  • Different Instruments
  • Different Reagents
  • Different Days
  • Etc.
  • Expressed as RSD

35
Analytical Performance CharacteristicsDefinition
of Robustness
  • Robustness
  • Measure of The Capacity to Remain Unaffected by
    Small (Deliberate) Variations in Method
    Parameters
  • Indication of Reliability During Normal Use

36
HPLC Method Validation Process
  • Step 1 Software Validation
  • Step 2 HPLC System Qualification
  • Step 3 Method Validation Using Validated HPLC
    System
  • Step 4 Total System Validation Using System
    Suitability

37
System Suitability
  • System Suitability
  • The checking of a system, before or during
    analysis of unknowns, to insure system
    performance.
  • No sample analysis is acceptable unless the
    requirements for system suitability have been
    met. (USP Chapter 621)
  • Plate Count, Tailing, Resolution
  • Determination of reproducibility (RSD)
  • For RSD lt 2.0, Five replicates
  • For RSD gt 2.0, Six replicates
  • System Suitability "Sample"
  • A mixture of main components and expected
    by-products utilized to determine system
    suitability
  • Whenever There is a Significant change in
    Equipment or Reagents System Suitability Testing
    Should be Performed (USP Chapter 621)

38
Recommendations From FDA 1994 Guideline System
Suitability
  • Capacity factor
  • k' gt 2
  • Precision/Injection repeatability
  • RSD lt/ 1, n gt/ 5
  • Resolution
  • Rs gt/ 2 (Major peak and closest eluting)
  • Tailing factor
  • T lt/ 2
  • Theoretical Plates
  • In general N gt 2000

39
Where Do I Start?!!?
40
How is Method Validation Performed?
  • Analytical Laboratory Phase
  • Following a Test Plan or Protocol
  • Usually during 3 to 5 days
  • Consist of injecting various concentration levels
    under different operating conditions
  • Both on the Bulk (Active form) Formulation
    (Pharmaceutical form)
  • Data Reduction Phase
  • Statistical Calculations are performed on these
    analysis
  • Chromatographic results are always relative
  • With statistical approach you can objectively
    evaluate the real variations of the final results

41
Example Method Validation Protocol
  • Some Basic Assumptions
  • Specificity demonstrated by PDA, MS
  • Method is developed and optimized to a point..
  • Once data is generated, statistics will be used
  • Variance
  • Confidence levels and limits
  • Student, Cochran, Dixon and Fisher tests

42
Example Method Validation Protocol
Linearity Day 1-3
LOQ
LOD
Robustness
Level 1 Bulk Drug
Six Blanks Baseline Noise
Parameter 1 Min Max
Level 2 Bulk Drug
Level 3 Bulk Drug
Parameter 2 Min Max
Level 4 Bulk Drug
Parameter 3 Min Max
Level 5 Bulk Drug
Parameter 4 Min Max
43
Why is Method ValidationConsidered a Bottleneck?
  • Every Method Validation Process Consists of About
    80 to 100 Analyses
  • Each of Them Produce About 7 Peak Specific
    Results for a Single Component (Area, RT,
    Resolution)
  • These Analyses Result in a total of about 700
    Numbers per Component
  • All of These Numbers Need to be Mathematically
    Processed
  • Manual (Calculator, Excel Macros etc.)
  • Dedicated Method Validation Program

44
Different Approaches to theData Reduction Process
  • Manual Process
  • If all calculations are performed manually
    (typically done using Excel spreadsheets) time
    could lead to 1 week work with 2 persons (One
    person for result entry - and one for
    calculation verification.)
  • Using Dedicated Programs (commercialized or home
    build products)
  • One day for 2 persons
  • One person for result entry verification
  • Using Method Validation Software
  • Only 15 minutes for only one Single person !!!

45
Original USP Method
1
2
0.0
20.0
Time in Minutes
46
Original USPMethod on New Column
USP Method Conditions
Column
3.9 by 15cm Symmetry 5µm C18
Mobile Phase
Na
H2PO
pH 5.5/ACN 85/15
4
Flow Rate
1.0 mL/min.
Detection
UV at 280nm
Sample
0.01mg/mL each in water

1 Hydrochlorthiazide
1

2 Triamterene

USP Criteria Resolution gt 3.0,
2

RSD lt 2.0
47
Effect of Smaller Particle Size
Method Conditions
Column XTerraMS C18 2.5µm
4.6X30mm Mobile Phase NaH2PO4 pH5.5/ACN
85/15 Flow Rate 1.4 mL/minute Detection
280 nm Sample 0.01 mg/mL each
in water 1.
Hydrochlorthiazide 2.
Triamterene
1
2
Peak Rs RSD Time RSD Area 1 ---
0.1 0.6 2 3.2
0.2 0.4
Time in Minutes
0.0
3.0
48
Why Revalidate?
  • To Take Advantage of New Technology
  • Cost/Benefit Economic Exercise
  • Columns, Instrumentation, Methods
  • Formulation Changes
  • Manufacturing Batch Changes
  • Changes in Incoming Raw Material
  • Changes in Method

"Validation is a constant, evolving process and
should be considered during method development!"
49
Useful Web Sites WithValidation Information
  • www.pharmweb.net
  • www.fda.gov
  • www.waters.com
  • www.usp.org
  • www.ich.org
  • www.aoac.org

50
Conclusion
  • Defined Validation and its Importance
  • Examined The Steps of Method Validation
  • Learned How Each Step is Documented and Measured
  • System Suitability
  • USP/ICH
  • Protocol and Pitfalls
  • Revalidation
  • Software-Automated Method Validation
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