97-13063. International Conference on Harmonisation; Guideline on the Validation of Analytical Procedures: Methodology; Availability  

  • [Federal Register Volume 62, Number 96 (Monday, May 19, 1997)]
    [Notices]
    [Pages 27464-27467]
    From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
    [FR Doc No: 97-13063]
    
    
    
    [[Page 27463]]
    
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    Part V
    
    
    
    
    
    Department of Health and Human Services
    
    
    
    
    
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    Food and Drug Administration
    
    
    
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    International Conference on Harmonisation; Guideline on the Validation 
    of Analytical Procedures: Methodology; Availability; Notice
    
    Federal Register / Vol. 62, No. 96 / Monday, May 19, 1997 / Notices
    
    [[Page 27464]]
    
    
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    DEPARTMENT OF HEALTH AND HUMAN SERVICES
    
    Food and Drug Administration
    [Docket No. 96D-0030]
    
    
    International Conference on Harmonisation; Guideline on the 
    Validation of Analytical Procedures: Methodology; Availability
    
    AGENCY: Food and Drug Administration, HHS.
    
    ACTION: Notice.
    
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    SUMMARY: The Food and Drug Administration (FDA) is publishing a 
    guideline entitled, ``Validation of Analytical Procedures: 
    Methodology.'' The guideline was prepared under the auspices of the 
    International Conference on Harmonisation of Technical Requirements for 
    Registration of Pharmaceuticals for Human Use (ICH). The guideline 
    provides recommendations on how to consider various validation 
    characteristics for each analytical procedure. The guideline is an 
    extension to the ICH guideline entitled, ``Text on Validation of 
    Analytical Procedures.''
    
    DATES: Effective May 19, 1997. Submit written comments at any time.
    
    ADDRESSES: Submit written comments on the guideline to the Dockets 
    Management Branch (HFA-305), Food and Drug Administration, 12420 
    Parklawn Dr., rm. 1-23, Rockville, MD 20857. Copies of the guideline 
    are available from the Drug Information Branch (HFD-210), Center for 
    Drug Evaluation and Research, Food and Drug Administration, 5600 
    Fishers Lane, Rockville, MD 20857.
    
    FOR FURTHER INFORMATION CONTACT:
        Regarding the guideline: Linda L. Ng, Center for Drug Evaluation 
    and Research (HFD-570), Food and Drug Administration, 5600 Fishers 
    Lane, Rockville, MD 20857, 301-827-1050.
        Regarding ICH: Janet J. Showalter, Office of Health Affairs (HFY-
    20), Food and Drug Administration, 5600 Fishers Lane, Rockville, MD 
    20857, 301-827-0864.
    
    SUPPLEMENTARY INFORMATION: In recent years, many important initiatives 
    have been undertaken by regulatory authorities and industry 
    associations to promote international harmonization of regulatory 
    requirements. FDA has participated in many meetings designed to enhance 
    harmonization and is committed to seeking scientifically based 
    harmonized technical procedures for pharmaceutical development. One of 
    the goals of harmonization is to identify and then reduce differences 
    in technical requirements for drug development among regulatory 
    agencies.
        ICH was organized to provide an opportunity for tripartite 
    harmonization initiatives to be developed with input from both 
    regulatory and industry representatives. FDA also seeks input from 
    consumer representatives and others. ICH is concerned with 
    harmonization of technical requirements for the registration of 
    pharmaceutical products among three regions: The European Union, Japan, 
    and the United States. The six ICH sponsors are the European 
    Commission, the European Federation of Pharmaceutical Industries 
    Associations, the Japanese Ministry of Health and Welfare, the Japanese 
    Pharmaceutical Manufacturers Association, the Centers for Drug 
    Evaluation and Research and Biologics Evaluation and Research, FDA, and 
    the Pharmaceutical Research and Manufacturers of America. The ICH 
    Secretariat, which coordinates the preparation of documentation, is 
    provided by the International Federation of Pharmaceutical 
    Manufacturers Associations (IFPMA).
        The ICH Steering Committee includes representatives from each of 
    the ICH sponsors and the IFPMA, as well as observers from the World 
    Health Organization, the Canadian Health Protection Branch, and the 
    European Free Trade Area.
        In the Federal Register of March 7, 1996 (61 FR 9316), FDA 
    published a draft tripartite guideline entitled, ``Validation of 
    Analytical Procedures: Methodology.'' The notice gave interested 
    persons an opportunity to submit comments by June 5, 1996.
        After consideration of the comments received and revisions to the 
    guideline, a final draft of the guideline was submitted to the ICH 
    Steering Committee and endorsed by the three participating regulatory 
    agencies at the ICH meeting held on November 6, 1996.
        In the Federal Register of March 1, 1995 (60 FR 11260), the agency 
    published a guideline entitled, ``Text on Validation of Analytical 
    Procedures.'' The guideline presents a discussion of the 
    characteristics that should be considered during the validation of the 
    analytical procedures included as part of registration applications 
    submitted in Europe, Japan, and the United States. The guideline 
    discusses common types of analytical procedures and defines basic 
    terms, such as ``analytical procedure,'' ``specificity,'' and 
    ``precision.'' These terms and definitions are meant to bridge the 
    differences that often exist between various compendia and regulators 
    of the European Union, Japan, and the United States.
        This guideline provides guidance and recommendations on how to 
    consider the various validation characteristics for each analytical 
    procedure. In some cases, (for example, the demonstration of 
    specificity) the overall capabilities of a number of analytical 
    procedures in combination may be investigated to ensure the quality of 
    the drug substance or drug product.
        This guideline represents the agency's current thinking on the 
    validation of analytical procedures. It does not create or confer any 
    rights for or on any person and does not operate to bind FDA or the 
    public. An alternative approach may be used if such approach satisfies 
    the requirements of the applicable statute, regulations, or both.
        As with all of FDA's guidelines, the public is encouraged to submit 
    written comments with new data or other new information pertinent to 
    this guideline. The comments in the docket will be periodically 
    reviewed, and, where appropriate, the guideline will be amended. The 
    public will be notified of any such amendments through a notice in the 
    Federal Register.
        Interested persons may, at any time, submit written comments on the 
    final guideline to the Dockets Management Branch (address above). Two 
    copies of any comments are to be submitted, except that individuals may 
    submit one copy. Comments are to be identified with the docket number 
    found in brackets in the heading of this document. The guideline and 
    received comments may be seen in the office above between 9 a.m. and 4 
    p.m., Monday through Friday. An electronic version of this guideline is 
    available via Internet using the World Wide Web (WWW) (http://
    www.fda.gov/cder/guidance.htm).
        The text of the guideline follows:
    
    Validation of Analytical Procedures: Methodology
    
    Introduction
    
        This document is complementary to the ICH guideline entitled 
    ``Text on Validation of Analytical Procedures,'' which presents a 
    discussion of the characteristics that should be considered during 
    the validation of analytical procedures. Its purpose is to provide 
    some guidance and recommendations on how to consider the various 
    validation characteristics for each analytical procedure. In some 
    cases (for example, demonstration of specificity), the overall 
    capabilities of a number of analytical procedures in combination may 
    be investigated in order to ensure the quality of the drug substance 
    or drug product. In addition, the document provides an indication of 
    the data that should be presented in a new drug application.
    
    [[Page 27465]]
    
        All relevant data collected during validation and formulae used 
    for calculating validation characteristics should be submitted and 
    discussed as appropriate.
        Approaches other than those set forth in this guideline may be 
    applicable and acceptable. It is the responsibility of the applicant 
    to choose the validation procedure and protocol most suitable for 
    their product. However, it is important to remember that the main 
    objective of validation of an analytical procedure is to demonstrate 
    that the procedure is suitable for its intended purpose. Due to 
    their complex nature, analytical procedures for biological and 
    biotechnological products in some cases may be approached 
    differently than in this document.
        Well-characterized reference materials, with documented purity, 
    should be used throughout the validation study. The degree of purity 
    necessary depends on the intended use.
        In accordance with the parent document, and for the sake of 
    clarity, this document considers the various validation 
    characteristics in distinct sections. The arrangement of these 
    sections reflects the process by which an analytical procedure may 
    be developed and evaluated.
        In practice, it is usually possible to design the experimental 
    work such that the appropriate validation characteristics can be 
    considered simultaneously to provide a sound, overall knowledge of 
    the capabilities of the analytical procedure, for instance: 
    Specificity, linearity, range, accuracy, and precision.
    
    1. Specificity
    
        An investigation of specificity should be conducted during the 
    validation of identification tests, the determination of impurities, 
    and the assay. The procedures used to demonstrate specificity will 
    depend on the intended objective of the analytical procedure.
        It is not always possible to demonstrate that an analytical 
    procedure is specific for a particular analyte (complete 
    discrimination). In this case, a combination of two or more 
    analytical procedures is recommended to achieve the necessary level 
    of discrimination.
    
    1.1. Identification
    
        Suitable identification tests should be able to discriminate 
    between compounds of closely related structures which are likely to 
    be present. The discrimination of a procedure may be confirmed by 
    obtaining positive results (perhaps by comparison with a known 
    reference material) from samples containing the analyte, coupled 
    with negative results from samples which do not contain the analyte. 
    In addition, the identification test may be applied to materials 
    structurally similar to or closely related to the analyte to confirm 
    that a positive response is not obtained. The choice of such 
    potentially interfering materials should be based on sensible 
    scientific judgment with a consideration of the interferences that 
    could occur.
    
    1.2. Assay and Impurity Test(s)
    
        For chromatographic procedures, representative chromatograms 
    should be used to demonstrate specificity, and individual components 
    should be appropriately labeled. Similar considerations should be 
    given to other separation techniques.
        Critical separations in chromatography should be investigated at 
    an appropriate level. For critical separations, specificity can be 
    demonstrated by the resolution of the two components which elute 
    closest to each other.
        In cases where a nonspecific assay is used, other supporting 
    analytical procedures should be used to demonstrate overall 
    specificity. For example, where a titration is adopted to assay the 
    drug substance for release, the combination of the assay and a 
    suitable test for impurities can be used.
        The approach is similar for both assay and impurity tests:
    
    1.2.1. Impurities Are Available
    
        For the assay, this should involve demonstration of the 
    discrimination of the analyte in the presence of impurities and/or 
    excipients; practically, this can be done by spiking pure substances 
    (drug substance or drug product) with appropriate levels of 
    impurities and/or excipients and demonstrating that the assay result 
    is unaffected by the presence of these materials (by comparison with 
    the assay result obtained on unspiked samples). For the impurity 
    test, the discrimination may be established by spiking drug 
    substance or drug product with appropriate levels of impurities and 
    demonstrating the separation of these impurities individually and/or 
    from other components in the sample matrix.
    
    1.2.2. Impurities Are Not Available
    
        If impurity or degradation product standards are unavailable, 
    specificity may be demonstrated by comparing the test results of 
    samples containing impurities or degradation products to a second 
    well-characterized procedure, e.g., pharmacopoeial method or other 
    validated analytical procedure (independent procedure). As 
    appropriate, this should include samples stored under relevant 
    stress conditions: Light, heat, humidity, acid/base hydrolysis, and 
    oxidation.
         For the assay, the two results should be compared.
         For the impurity tests, the impurity profiles should be 
    compared.
        Peak purity tests may be useful to show that the analyte 
    chromatographic peak is not attributable to more than one component 
    (e.g., diode array, mass spectrometry).
    
    2. Linearity
    
        A linear relationship should be evaluated across the range (see 
    section 3) of the analytical procedure. It may be demonstrated 
    directly on the drug substance (by dilution of a standard stock 
    solution) and/or separate weighings of synthetic mixtures of the 
    drug product components, using the proposed procedure. The latter 
    aspect can be studied during investigation of the range.
        Linearity should be evaluated by visual inspection of a plot of 
    signals as a function of analyte concentration or content. If there 
    is a linear relationship, test results should be evaluated by 
    appropriate statistical methods, for example, by calculation of a 
    regression line by the method of least squares. In some cases, to 
    obtain linearity between assays and sample concentrations, the test 
    data may have to be subjected to a mathematical transformation prior 
    to the regression analysis. Data from the regression line itself may 
    be helpful to provide mathematical estimates of the degree of 
    linearity.
        The correlation coefficient, y-intercept, slope of the 
    regression line, and residual sum of squares should be submitted. A 
    plot of the data should be included. In addition, an analysis of the 
    deviation of the actual data points from the regression line may 
    also be helpful for evaluating linearity.
        Some analytical procedures, such as immunoassays, do not 
    demonstrate linearity after any transformation. In this case, the 
    analytical response should be described by an appropriate function 
    of the concentration (amount) of an analyte in a sample.
        For the establishment of linearity, a minimum of five 
    concentrations is recommended. Other approaches should be justified.
    
    3. Range
    
        The specified range is normally derived from linearity studies 
    and depends on the intended application of the procedure. It is 
    established by confirming that the analytical procedure provides an 
    acceptable degree of linearity, accuracy, and precision when applied 
    to samples containing amounts of analyte within or at the extremes 
    of the specified range of the analytical procedure.
        The following minimum specified ranges should be considered:
         For the assay of a drug substance or a finished (drug) 
    product: Normally from 80 to 120 percent of the test concentration;
         For content uniformity: Covering a minimum of 70 to 130 
    percent of the test concentration, unless a wider, more appropriate 
    range, based on the nature of the dosage form (e.g., metered dose 
    inhalers), is justified;
         For dissolution testing: +/-20 percent over the 
    specified range; e.g., if the specifications for a controlled 
    released product cover a region from 20 percent, after 1 hour, up to 
    90 percent, after 24 hours, the validated range would be 0-110 
    percent of the label claim;
         For the determination of an impurity: From the 
    reporting level of an impurity\1\ to 120 percent of the 
    specification;
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        \1\See sections on ``Reporting Impurity Content of Batches'' of 
    the corresponding ICH guideline entitled ``Impurities in New Drug 
    Substances'' (61 FR 372, January 4, 1996) and draft guideline 
    ``Impurities in New Drug Products'' (61 FR 11268, March 19, 1996).
    ---------------------------------------------------------------------------
    
         For impurities known to be unusually potent or to 
    produce toxic or unexpected pharmacological effects, the detection/
    quantitation limit should be commensurate with the level at which 
    the impurities must be controlled.
        Note: For validation of impurity test procedures carried out 
    during development, it may be necessary to consider the range around 
    a suggested (probable) limit;
         If assay and purity are performed together as one test 
    and only a 100 percent standard
    
    [[Page 27466]]
    
    is used, linearity should cover the range from the reporting level 
    of the impurities\2\ to 120 percent of the assay specification.
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        \2\ Ibid.
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    4. Accuracy
    
        Accuracy should be established across the specified range of the 
    analytical procedure.
    
    4.1. Assay
    
    4.1.1. Drug substance:
    
        Several methods of determining accuracy are available:
        (a) Application of an analytical procedure to an analyte of 
    known purity (e.g., reference material);
        (b) Comparison of the results of the proposed analytical 
    procedure with those of a second well-characterized procedure, the 
    accuracy of which is stated and/or defined (independent procedure, 
    see section 1.2.);
        (c) Accuracy may be inferred once precision, linearity, and 
    specificity have been established.
    
    4.1.2. Drug product:
    
        Several methods for determining accuracy are available:
        (a) Application of the analytical procedure to synthetic 
    mixtures of the drug product components to which known quantities of 
    the drug substance to be analyzed have been added;
        (b) In cases where it is impossible to obtain samples of all 
    drug product components, it may be acceptable either to add known 
    quantities of the analyte to the drug product or to compare the 
    results obtained from a second, well-characterized procedure, the 
    accuracy of which is stated and/or defined (independent procedure, 
    see section 1.2);
        c) Accuracy may be inferred once precision, linearity, and 
    specificity have been established.
    
    4.2. Impurities (Quantitation)
    
        Accuracy should be assessed on samples (drug substance/drug 
    product) spiked with known amounts of impurities.
        In cases where it is impossible to obtain samples of certain 
    impurities and/or degradation products, it is considered acceptable 
    to compare results obtained by an independent procedure (see section 
    1.2.). The response factor of the drug substance can be used.
        It should be clear how the individual or total impurities are to 
    be determined, e.g., weight/weight or area percent, in all cases 
    with respect to the major analyte.
    
    4.3. Recommended Data:
    
        Accuracy should be assessed using a minimum of 9 determinations 
    over a minimum of 3 concentration levels covering the specified 
    range (e.g., 3 concentrations/3 replicates each of the total 
    analytical procedure).
        Accuracy should be reported as percent recovery by the assay of 
    known added amount of analyte in the sample or as the difference 
    between the mean and the accepted true value together with the 
    confidence intervals.
    
    5. Precision
    
        Validation of tests for assay and for quantitative determination 
    of impurities includes an investigation of precision.
    
    5.1. Repeatability
    
        Repeatability should be assessed using:
        (a) A minimum of 9 determinations covering the specified range 
    for the procedure (e.g., 3 concentrations/3 replicates each); or
        (b) A minimum of 6 determinations at 100 percent of the test 
    concentration.
    
    5.2. Intermediate Precision
    
        The extent to which intermediate precision should be established 
    depends on the circumstances under which the procedure is intended 
    to be used. The applicant should establish the effects of random 
    events on the precision of the analytical procedure. Typical 
    variations to be studied include days, analysts, equipment, etc. It 
    is not necessary to study these effects individually. The use of an 
    experimental design (matrix) is encouraged.
    
    5.3. Reproducibility
    
        Reproducibility is assessed by means of an interlaboratory 
    trial. Reproducibility should be considered in case of the 
    standardization of an analytical procedure, for instance, for 
    inclusion of procedures in pharmacopoeias. These data are not part 
    of the marketing authorization dossier.
    
    5.4. Recommended Data
    
        The standard deviation, relative standard deviation (coefficient 
    of variation), and confidence interval should be reported for each 
    type of precision investigated.
    
    6. Detection Limit
    
        Several approaches for determining the detection limit are 
    possible, depending on whether the procedure is noninstrumental or 
    instrumental. Approaches other than those listed below may be 
    acceptable.
    
    6.1. Based on Visual Evaluation
    
        Visual evaluation may be used for noninstrumental methods but 
    may also be used with instrumental methods.
        The detection limit is determined by the analysis of samples 
    with known concentrations of analyte and by establishing the minimum 
    level at which the analyte can be reliably detected.
    
    6.2. Based on Signal-to-Noise
    
        This approach can only be applied to analytical procedures which 
    exhibit baseline noise. Determination of the signal-to-noise ratio 
    is performed by comparing measured signals from samples with known 
    low concentrations of analyte with those of blank samples and 
    establishing the minimum concentration at which the analyte can be 
    reliably detected. A signal-to-noise ratio between 3 or 2:1 is 
    generally considered acceptable for estimating the detection limit.
    
    6.3 Based on the Standard Deviation of the Response and the Slope
    
        The detection limit (DL) may be expressed as:
        [GRAPHIC] [TIFF OMITTED] TN19MY97.007
        
    where  = the standard deviation of the response
         S = the slope of the calibration curve
    The slope S may be estimated from the calibration curve of the 
    analyte. The estimate of  may be carried out in a variety 
    of ways, for example:
    
    6.3.1. Based on the standard deviation of the blank
    
        Measurement of the magnitude of analytical background response 
    is performed by analyzing an appropriate number of blank samples and 
    calculating the standard deviation of these responses.
    
    6.3.2. Based on the calibration curve
    
        A specific calibration curve should be studied using samples 
    containing an analyte in the range of DL. The residual standard 
    deviation of a regression line or the standard deviation of y-
    intercepts of regression lines may be used as the standard 
    deviation.
    
    6.4. Recommended Data
    
        The detection limit and the method used for determining the 
    detection limit should be presented. If DL is determined based on 
    visual evaluation or based on signal-to-noise ratio, the 
    presentation of the relevant chromatograms is considered acceptable 
    for justification.
        In cases where an estimated value for the detection limit is 
    obtained by calculation or extrapolation, this estimate may 
    subsequently be validated by the independent analysis of a suitable 
    number of samples known to be near or prepared at the detection 
    limit.
    
    7. Quantitation Limit
    
        Several approaches for determining the quantitation limit are 
    possible, depending on whether the procedure is noninstrumental or 
    instrumental. Approaches other than those listed below may be 
    acceptable.
    
    7.1. Based on Visual Evaluation
    
        Visual evaluation may be used for noninstrumental methods, but 
    may also be used with instrumental methods.
        The quantitation limit is generally determined by the analysis 
    of samples with known concentrations of analyte and by establishing 
    the minimum level at which the analyte can be quantified with 
    acceptable accuracy and precision.
    
    7.2. Based on Signal-to-Noise
    
        This approach can only be applied to analytical procedures that 
    exhibit baseline noise. Determination of the signal-to-noise ratio 
    is performed by comparing measured signals from samples with known 
    low concentrations of analyte with those of blank samples and by 
    establishing the minimum concentration at which the analyte can be 
    reliably quantified. A typical signal-to-noise ratio is 10:1.
    
    7.3. Based on the Standard Deviation of the Response and the Slope
    
        The quantitation limit (QL) may be expressed as:
    
    [[Page 27467]]
    
    [GRAPHIC] [TIFF OMITTED] TN19MY97.008
    
    
    where  = the standard deviation of responses
         S = the slope of the calibration curve
    The slope S may be estimated from the calibration curve of the 
    analyte. The estimate of  may be carried out in a variety 
    of ways, for example:
    
    7.3.1. Based on standard deviation of the blank
    
        Measurement of the magnitude of analytical background response 
    is performed by analyzing an appropriate number of blank samples and 
    calculating the standard deviation of these responses.
    
    7.3.2. Based on the calibration curve
    
        A specific calibration curve should be studied using samples 
    containing an analyte in the range of QL. The residual standard 
    deviation of a regression line or the standard deviation of y-
    intercepts of regression lines may be used as the standard 
    deviation.
    
    7.4 Recommended Data
    
        The quantitation limit and the method used for determining the 
    quantitation limit should be presented.
        The limit should be subsequently validated by the analysis of a 
    suitable number of samples known to be near or prepared at the 
    quantitation limit.
    
    8. Robustness
    
        The evaluation of robustness should be considered during the 
    development phase and depends on the type of procedure under study. 
    It should show the reliability of an analysis with respect to 
    deliberate variations in method parameters.
        If measurements are susceptible to variations in analytical 
    conditions, the analytical conditions should be suitably controlled 
    or a precautionary statement should be included in the procedure. 
    One consequence of the evaluation of robustness should be that a 
    series of system suitability parameters (e.g., resolution test) is 
    established to ensure that the validity of the analytical procedure 
    is maintained whenever used.
        Examples of typical variations are:
         Stability of analytical solutions
         Extraction time
        In the case of liquid chromatography, examples of typical 
    variations are:
         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
        In the case of gas-chromatography, examples of typical 
    variations are:
         Different columns (different lots and/or suppliers)
         Temperature
         Flow rate
    
    9. System Suitability Testing
    
        System suitability testing is an integral part of many 
    analytical procedures. The tests are based on the concept that the 
    equipment, electronics, analytical operations, and samples to be 
    analyzed constitutean integral system that can be evaluated as such. 
    System suitability test parameters to be established for a 
    particular procedure depend on the type of procedure being 
    validated. See pharmacopoeias for additional information.
    
        Dated: May 13, 1997.
    William K. Hubbard,
    Associate Commissioner for Policy Coordination.
    [FR Doc. 97-13063 Filed 5-16-97; 8:45 am]
    BILLING CODE 4160-01-F
    
    
    

Document Information

Effective Date:
5/19/1997
Published:
05/19/1997
Department:
Food and Drug Administration
Entry Type:
Notice
Action:
Notice.
Document Number:
97-13063
Dates:
Effective May 19, 1997. Submit written comments at any time.
Pages:
27464-27467 (4 pages)
Docket Numbers:
Docket No. 96D-0030
PDF File:
97-13063.pdf