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    PHARM 462

    12009

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    European and International regulatory bodies andtheir guidelines on different aspects of QA

    Body

    F ul l name Guidance on

    Eurachem F ocus for Analytical Chemistry in Europe M ethod vali dation

    CI TAC Cooperation of I nternational Traceabil ity inAnalytical Chemistry

    Prof iciency testingQuali ty Assur ance

    EA European Cooperation for Accreditation Accreditation

    CEN European Committee for Normalization StandardizationI UPAC I nternational Uni on of Pure & Appli ed Chem. M ethod vali dation

    I SO I nternational Standardization Organisation Standardisation

    AOAC

    ILAC

    Association of Off icial A nalytical Chemists

    I nternational L aboratory Accreditation Cooperat.

    I nternal qual. ControlProf iciency testing

    Accreditation

    F DA US F ood and Dr ug Admini stration M ethod vali dation

    USP Uni ted States Phar macopoeia M ethod vali dation

    I CH I nternational Conf erence on H armonization M ethod vali dation

    2 2009

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    M ethod Validation

    Validation of analytical procedures is the process of determining the

    su i t ab i l i t y o f a g iven me thodo logy fo r p rov id ing u se fu l

    analytical data.

    J. Guerra, Pharm. Tech. M arch 1986

    Validation is the formal and systematic proof that a method compiles

    w i t h t h e r e q u i r e m e n t s f o r t e s t i n g a p r o d u c t w h e nobserving a defined procedures.

    G. Maldener, Chromatographia, Ju ly 1989

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    Method validation is the process of demonstrating that analytical

    procedures are suitable for their intended use and that they supportthe identity, strength, quality, purity and potency of the

    drug substances and drug products

    Method validation is primarily concerned with:

    identification of the sources of potential errors

    quantification of the potential errors in the method

    An method validation describes in mathematical and quantifiable

    t e r m s t h e p e r f o r m a n c e c h a r a c t e r i s t i c s o f a n a s s a y

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    Examples of M ethods That Requi re

    Validation Documentation

    Chromatographic Methods - HPLC, GC, TLC, GC/MS, etc.

    Pharmaceutical Analysis - In support of CMC.

    Bioanalytical Analysis - In support of PK/PD/Clinical Studies.

    Spectrophotometric Methods UV/VIS, IR, NIR, AA, NMR,

    XRD,MS

    Capillary Electrophoresis Methods - Zone, Isoelectric Focusing

    Particle Size Analysis Methods - Laser, Microscopic, Sieving, SEC, etc.

    Automated Analytical Methods - Robots, Automated Analysis.

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    Considerations Prior toM ethod Validation

    Suitability of Instrument

    Status of Qualification and Calibration

    Suitability of MaterialsStatus of Reference Standards, Reagents, Placebo Lots

    Suitability of Analyst

    Status of Training and Qualification Records

    Suitability of Documentation

    Written analytical procedure and proper approved protocol

    with pre-established acceptance criteria

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    Validation Step Define the application, purpose and scope of the method.

    Analytes? Concentration? Sample matrices?

    Develop a analytical method.

    Develop a validation protocol.

    Qualification of instrument. Qualify/train operator

    Qualification of material.

    Perform pre-validation experiments.

    Adjust method parameters and/or acceptance criteria if necessary. Perform full validation experiments.

    Develop SOP for executing the method in routine analysis.

    Document validation experiments and results in the validation report.

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    Purpose of M ethod Validation

    Identification of Sources and Quantitation of Potential errors

    Determination if Method is Acceptable for Intended Use

    Establish Proof that a Method Can be Used for Decision Making

    Satisfy FDA Requirements

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    What is not Analytical M ethod Validation?

    Calibration

    The Process of Performing Tests on Individual System

    Components to Ensure Proper function

    For example) HPLC Detector calibration

    Wavelength Accuracy/ Linear Range/ Noise Level/ Drift

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    System Suitability

    Test to verify the proper functioning of the operating system,

    i.e., the electronics, the equipment, the specimens and the

    analytical operations.Minimum Resolution of 3.0 between the analyte peak and

    internal standard peaks

    Relative Standard Deviation of replicate standard injections

    of not more than 2.0%

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    11

    System Suitability

    Sample

    Validation

    Methodnalyst

    Calibration

    Pump

    Detector

    Injector

    Data System

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    M ethod L ife Cycle

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    Validation

    Development Optimization

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    Verif ication vs. Validation

    Compendial vs. Non-compendial Methods

    Compendial methods-Verification

    Non-compendial methods-Validation requirement

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    Compendial Analytical Pr ocedur es

    The Analytical procedures in the USP 25/NF 20 are legally recognized under

    section 501(b) of the Federal Food, Drug and Cosmetic Act as the regulatory

    analytical procedures for the compendial items. The suitability of these

    procedures must be verified under actual conditions of use. When using USP

    25/NF 20 analytical procedures, the guidance recommends that information be

    p r o v i d e d f o r t h e f o l l o w i n g

    characteristics: Specificity of the procedure

    Stability of the sample solution

    Intermediate precision 142009

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    Published Validation Guidelines

    1978 Current Good Manufacturing Practices (cGMPs)1987 FDA Validation Guideline

    1989 Supplement 9 to USP XXI

    1994 CDER Reviewer Guidance:

    Validation of Chromatographic Method

    1995 ICH Validation Definitions:

    Q2A, Text on Validation of Analytical procedures

    1997 ICH Validation Methodology:

    Q2B, Validation of Analytical Procedures: Methodology

    1999 Supplement 10 to USP 23 : Validation of Compendial Methods

    1999 CDER Bioanalytical Method Validation for Human Studies

    2000 CDER Draft Analytical Procedures and Method Validation 152009

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    Regulatory and ComplianceRequirements Review

    Validation of an analytical method is the

    process by which it is established, by

    laboratory studies, that the performancecharacteristics of the method meet the

    requirements for the intended analytical

    applications

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    USP 23 GeneralInformation

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    T h e a c c u r a c y, s e n s i t i v i t y, s p e c i f i c i t y, a n d

    reproducibility of test methods employed by the firm

    shall be established and documented. Such validation

    and documentat ion may be accomplished in

    a c c o r d a n c e w i t h 2 1 1 . 1 9 4 ( a ) ( 2 ) .

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    21 CFR PART 211 - CURRENT GOOD MANUFACTURINGPRACTICE FOR FINISHED PHARMACEUTICALS

    Subpart I-Laboratory Controls

    211.165 Testing and release for distribution (e)

    2009

    http://www.fda.gov/cder/dmpq/cgmpregs.htmhttp://www.fda.gov/cder/dmpq/cgmpregs.htmhttp://www.fda.gov/cder/dmpq/cgmpregs.htmhttp://www.fda.gov/cder/dmpq/cgmpregs.htm
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    The objective of validation of an analytical

    procedure is to demonstrate that it is suitablefor its intended purpose

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    ICH Guideline forIndustryQ2A, Text on

    Validation ofAnalytical ProceduresMarch 1995

    2009

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    In practice, it is usually possible to design the experimental

    work such that the appropriate validation characteristicscan be considered simultaneously to provide a sound,overall knowledge of the capabilities of the analyticalprocedure, for instance: Specificity, Linearity, Range,

    Accuracy, andPrecision.

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    ICH Guideline for IndustryQ2B, Validation of AnalyticalProcedures: Methodology

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    Today s Validation Requirements

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    ICH/USP

    GMPs

    (legal) FDA

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    I CH /USP Validation Requirements &Parameters

    Specificity

    Linearity

    Range

    Accuracy

    Precision

    Repeatability

    Intermediate Precision

    Reproducibility

    Limit of Detection

    Limit of Quantitation21

    ICH

    Specificity

    Linearity and RangeAccuracy

    Precision

    Limit of Detection

    Limit of QuantitationRuggedness

    Robustness

    USP

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    USP Data Elements RequiredF or Assay Validation

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    AnalyticalPerformance

    Parameter

    AssayCategory 1

    Assay Category 2Assay

    Category 3Quantitative Limit Tests

    Accuracy Yes Yes * *

    Precision Yes Yes No Yes

    Specificity Yes Yes Yes *

    LOD No No Yes *

    LOQ No Yes No *

    Linearity Yes Yes No *

    Range Yes Yes * *

    Ruggedness Yes Yes Yes Yes

    * May be required, depending on the nature of the specific test.2009

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    USP Categories

    Category 1: Quantitation of major components or

    active ingredients

    Category 2: Determination of impurities or

    degradation products

    Category 3: Determination of performancecharacteristics

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    I CH Validation Character istics vs.Type of Analytical Procedure

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    Type ofAnalyticalProcedure

    IdentificationImpurity testing

    AssayQuantitative Limit Tests

    Accuracy No Yes No Yes

    Precision

    Repeatability No Yes No Yes

    Interm. Prec. No Yes No Yes

    Specificity Yes Yes Yes Yes

    LOD No No Yes No

    LOQ No Yes No No

    Linearity No Yes No Yes

    Range No Yes No Yes2009

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    Specificity/Selectivity Ability of an analytical method to measure the analyte free from

    interference due to other components .

    Selectivity describes the ability of an analytical method to differentiate

    various substances in a sample

    Original term used in USP

    Also Preferred by IUPAC and AOAC

    Also used to characterize chromatographic columns

    Degree of Bias (Used in USP)

    The difference in assay results between the two groups

    - the sample containing added impurities, degradation products, related chemical

    compounds, placebo ingredients

    - the sample without added substances

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    Specif ici ty: I mpur ities Assay

    Chromatographic Methods

    Demonstrate Resolution

    Impurities/Degradants Available

    Spike with impurities/degradants

    Show resolution and a lack of interference

    Impurities/Degradants Not Available

    Stress SamplesFor assay, Stressed and Unstressed Samples should becompared.

    For impurity test, impurity profiles should be compared.

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    F orced Degradation Studies

    Temperature (50-60 )

    Humidity (70-80%)

    Acid Hydrolysis (0.1 N HCl)

    Base Hydrolysis (0.1 N NaOH)

    Oxidation (3-30%)

    Light (UV/Vis/Fl)

    Intent is to create 10 to 30 % Degradation

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    Linearity

    Ability of an assay to

    elicit a direct and

    proportional response

    to changes in analyte

    concentration.

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    L inearity Should be Evaluated

    By Visual Inspection of plot of signals vs. analyte

    concentration

    By Appropriate statistical methodsLinear Regression (y = mx + b)

    Correlation Coefficient, y-intercept (b), slope (m)

    Acceptance criteria: Linear regression r 2 > 0.95

    Requires a minimum of 5 concentration levels

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    Range

    Acceptable range having linearity, accuracy, precision.For Drug Substance & Drug product Assay

    80 to 120% of test Concentration

    For Content Uniformity Assay

    70 to 130% of test Concentration

    For Dissolution Test Method

    +/- 20% over entire Specification Range

    For Impurity Assays

    From Reporting Level to 120% of Impurity Specification for Impurity

    Assays

    From Reporting Level to 120% of Assay Specification for Impurity/Assay

    Methods302009

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    Accuracy

    Closeness of the test

    results obtained by the

    method to the true value.

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    Accuracy Should be established across specified range of

    analytical procedure.

    Should be assessed using a minimum of 3 concentrationlevels, each in triplicate (total of 9 determinations)

    Should be reported as:

    Percent recovery of known amount added orThe difference between the mean assay result and the accepted

    value

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    Accuracy Data Set (1 of 3)

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    AmountAdded (mg)

    AmountFound (mg)

    PercentRecovery

    0.0 0.0 ---

    50.2 50.4 100.5

    79.6 80.1 100.6

    99.9 100.7 100.8

    120.2 119.8 99.7

    150.4 149.7 99.5

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    Precision

    The closeness of agreement (degree of

    scatter) between a series of

    measurements obtained from

    multiple samplings of the same

    homogeneous sample.

    Should be investigated using

    homogeneous, authentic samples.

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    Precision Considered at 3 L evels

    Repeatability

    Intermediate Precision

    Reproducibility

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    Repeatabil i ty

    Express the precision

    under the same

    operating conditions

    over a short interval of

    time.

    Also referred to as

    Intra-assay precision

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    Should be assessed

    using minimum of 9

    determinations(3 concentrations/ 3

    replicates) r

    Minimum of 6determinations at the

    100 level.

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    I ntermediate Precision

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    Express within-laboratory

    variations.

    Expressed in terms of

    standard deviation,

    relative standard deviation

    (coefficient of variation)

    and confidence interval.

    Depends on the

    circumstances under which

    the procedure is intended

    to be used.

    Studies should include

    varying days, analysts,

    equipment, etc.

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    Repeatabil i ty & I ntermediate Precision

    Day 1 Day 2100.6 99.5

    100.8 99.9

    100.1 98.9

    100.3 99.2

    100.5 99.7

    100.4 99.6

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    GrandMean = 100.0RSD = 0.59

    Mean = 100.5RSD = 0.24 Mean = 99.5RSD = 0.36

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    Reproducibil i ty

    Definition: Ability reproduce data

    within the predefined precision

    Determination: SD, RSD and

    confidence interval

    Repeatability test at two different

    labs.

    Note: Data not required for BLA/NDA

    Lab 1 Lab 2 Lab 3

    Day1 Day2 Day1 Day2Day1 Day2

    Man1

    Man2

    Man1

    Man 2 Man1

    Man2

    3Prep

    3Prep

    3Prep

    3Prep

    3Prep

    3Prep

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    Detection L imit (LOD)/Quantitation L imit (L OQ)

    LOD

    Lowest amount of analyte in a

    sample that can be detected

    but not necessarily

    quantitated.

    Estimated by Signal to Noise

    Ratio of 3:1.

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    LOQ

    Lowest amount of analyte

    in a sample that can be

    quantified with suitable

    accuracy and precision.

    Estimated by Signal to

    Noise Ratio of 10:1.

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    1. Based in Visual Evaluations

    - Used for non-instrumental methods

    2. Based on Signal-to Noise-Ratio

    - 3:1 for Detection Limit

    - 10:1 for Quantitation Limit

    3. Based on Standard Deviation of the Response and

    the Slope

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    LOD and LOQ Estimated by

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    S = slope of calibration curve

    s = standard deviation of blank readings or

    standard deviation of regression line

    Validated by assaying samples at DL or QL

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    DL =3.3s

    QL =10s

    S S

    LOD and LOQ Estimated by

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    Ybl

    LOD LOQ

    Statistical estimate of LOD & LOQ

    LOD = 3.3 Sbl / b LOQ = 10 Sbl / b

    Y = b X + a

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    Definition: Capacity to remain unaffected by small but deliberate

    variations in method parameters

    Determination: Comparison results under differing conditions

    with precision under normal conditionsExamples of typical variations in LC

    Influence of variations of pH in a mobile phase

    Influence of variations in mobile phase composition

    Different columns (different lots and/or suppliers)

    Temperature

    Flow rate

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    Robustness

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    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

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    I CH /USP System Suitabili ty

    ICH

    Definition: evaluation of equipment, electronic,analytical operations and samples as a whole

    Determination: repeatability, tailing factor (T), capacity

    factor (k ), resolution (R), and theoretical Plates (N)

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    USP 23

    System Suitability Requirements

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    Parameters Recommendations

    K In general k 2.0

    RR > 2, between the peak of interest and theclosest potential interferent (degradant,internal STD, impurity, excipient, etc ..)

    T T 2 N In general N > 2000

    Repeatability RSD 2.0 (n 5)

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    Re-validation

    When Method parameters have been changed The scope of the method has been changed

    Synthetic methods have been changed Impurity profile has been changed

    What Preferably everything. Exceptions should be

    scientifically justified

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    H ow do we Know the expectations ofthe F DA?

    FDA Form 483FDA Warning Letters

    Personal Experiences

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    483 ObservationsThere was inadequate method validation specificity

    data to demonstrate that each method was capable ofdistinguishing the active ingredient from its impurities

    and degradation products.

    Specificity studies did not include the minimum stress

    conditions of acid and base hydrolysis, oxidation,thermal degradation and photolysis, degradation

    schematic for the active ingredient that identifies themajor degradation products

    was not included for each product.502009

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    F DA Waning Letter

    On addition to the example of modifying both compendialmethods and customer supplied methods, we also observedthe use of unvalidated in-house methods as well as

    u n v a l i d a t e dmodifications to in-house methods.

    A statement indicating that the method has not beenvalidated in the particular formulation was included in thecertificate of analysis for use of this statement does nota b s o l v e f r o m u s i n g v a l i d , a c c u r a t e , a n d

    reproducible methods. (June 2000)

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    F DA Systems Based I nspection: L aboratory System

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    MethodValidation

    13

    Training/Qual.

    4Stability Program

    21

    InadequateRecords

    27

    Controls. General35

    Feb July 2002: 212 Inspections (US)

    * Reference: Albinus D Sa, FDA, CDER Office of Compliance, from AAPS, Nov. 2002 presentation.

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    ICH Update:

    2009 53

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    A Unique Approach

    International Conference on Harmonisation(ICH) was created in 1990

    Agreement between the EU, Japan and theUSA to harmonize different regional requirements for registration of pharmaceuticaldrug productsUnique because joint effort by regulators andassociated pharmaceutical industry tradeassociations

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    ICH Objectives

    Identification and elimination of the need to duplicatestudies to meet different regulatory requirementsMore efficient use of resources in the R&D process,as a consequenceQuicker access for patients to safe and effective newmedicines

    2009 55

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    Working Groups

    SAFETY EFFICACY

    QUALITY MULTIDISCIPLINARY

    STEERING COMMITTEEEndorses topics, guidelines and monitors progress

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    Related Site

    www.fda.gov

    www.fda.gov/cder/

    www.waters.com

    www.usp.org

    www.ich.org

    www.aoac.org

    www.pharmweb.net

    http://www.fda.gov/http://www.fda.gov/cder/http://www.waters.com/http://www.usp.org/http://www.ich.org/http://www.aoac.org/http://www.pharmweb.net/http://www.pharmweb.net/http://www.aoac.org/http://www.ich.org/http://www.usp.org/http://www.waters.com/http://www.fda.gov/cder/http://www.fda.gov/