Monday, December 13, 2010

Analytical Method Validation

.0     Purpose     :   To lay down a procedure for Analytical Method Validation.

2.0     Objective   :  To provide documented procedure for Analytical Method Validation.

3.0     Scope        :   To define role/responsibility of various persons responsible for Analytical Method Validation.

4.0     Responsibility    :
·        Primary        :         Officer QA/ QC
·        Secondary    :         Manager QA/ QC

5.0      Procedure   :
·        General Concepts
Ø      Validation is the act of demonstrating and documenting a procedure that operates effectively.
Ø      The discussion of the validation of analytical procedures is directed to the four most common types of analytical procedure:
R           Identification tests
R           Quantitative tests for impurities content
R           Limit tests for the control of impurities
R           Quantitative tests of the active moiety in samples of drug substance or drug product or other selected components in the drug product.
Ø      Typical validation characteristics which should be considered are:
R           Accuracy
R           Precision
R           Specificity
R           Quantitation Limit
R           Linearity and Range
R           Robustness
·        Method Validation Parameter for the assay of ---:
Ø      Linearity: ----- to be analyzed as per proposed method. The results obtain is used to statistically evaluate for coefficient of determination (r2), standard error of estimate and y intercept.
Ø      Precision: Precision of the chemical method is ascertained by carrying out the analysis as per the procedure and as per normal weight taken for analysis. Repeat the analysis five times. Calculate the % assay, mean assay, % Deviation and % relative standard deviation and %RSD.
Ø      Accuracy: Accuracy of the method is ascertained by standard addition method at 3 levels. Standard quantity equivalent to 80%, 100% and 120% is to be added in sample.
·        Method Validation Parameter for residual solvent by GC for ---:
Ø      Specificity: Resolution of the analyte peak from the nearest peak: Solution of each of the analyte was injected separately and their retention time is noted. The standard working solution containing a mixture of the component being analyze is also injected and each of analyte peaks is check for its resolution from the nearest.
Ø      Precision:
R     Repeatability: Six replicate injections of standard solution for system precision should analyze as per the proposed method and from the chromatograms obtained the percentage % RSD is calculated.
R     Intermediate precision: The purpose of this test is to demonstrate the intermediate precision of the method when method is executed by a different analyst and on different day. Results obtained will be compared.
Ø      Linearity and Range: Solution of analyte solvent, having different concentration should make separate from L.O.Q. concentration, which is 50% to 150%. The result obtained is statistically evaluated for coefficient of determination (r2), standard error of estimate and y intercept.
Ø      LOD & LOQ:
R     The limit of Detection (L.O.D.) was calculated as per below equation:
                      LOD          =              3.3     X       SD

R     The limit of Quantification (L.O.Q.) was calculated as per below equation:
                                                LOQ         =              10      X     SD
Ø      Accuracy / % Recovery (By Standard Addition Method): Accuracy of the method was ascertained by standard addition method at 3 levels.
R     Standard solution quantity equivalent to 50%, 100% and 150% are added in sample.
R     The solutions amount is analyzed by the proposed method and chromatogram obtained.
R     The amount recover by the method is compared to the amount added. Percent deviation is calculated at each levels and a grand average across all the levels are also calculated.
Methanol standard concentration ––  3000 ppm
Acetic acid standard concentration –– 5000 ppm
DMF standard concentration ––          880  ppm
Ø      Robustness:
R     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.
R     If measurements are susceptible to variation in analytical conditions, the analytical condition should be suitably controlled or a precautionary statement should be included in the procedure.
R     One consequence of the 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.

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