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Inspection by variables as an acceptance criterion in bioanalysis--a proposal
1Department of Clinical Pharmacology, Glaxo Research Institute, Research Triangle Park, NC 27709, USA.
Journal of Pharmaceutical and Biomedical Analysis
|November 1, 1995
Summary
Inspection by variables offers a scientifically justified acceptance criterion for bioanalysis, addressing limitations of current methods. This approach ensures immediate answers and correlates sample size with batch size for improved quality control.
Area of Science:
- Bioanalytical method validation
- Quality control in pharmaceutical analysis
Background:
- Current bioanalytical acceptance criteria are often scientifically unjustified, lack immediate feedback, or ignore precision and accuracy.
- Existing methods like fixed range and 99% confidence intervals have significant limitations in real-time quality assessment.
Purpose of the Study:
- To propose and validate 'inspection by variables' as a robust acceptance criterion for bioanalysis.
- To address the deficiencies of current bioanalytical acceptance criteria by introducing a scientifically sound and efficient method.
Main Methods:
- Adapted the 'inspection by variables' procedure, originally from industrial quality control (ISO 3951, MIL-STD-414).
- Defined an acceptable quality level (AQL) of 6.50% with specifications at +/- 20% or +/- 15%.
- Applied the proposed method retrospectively to 14 authentic bioanalytical data sets.
Main Results:
- The proposed method, based on acceptable quality level (AQL), provides a scientifically justified approach to bioanalytical acceptance.
- Specifications of +/- 20% and +/- 15% correspond to coefficients of variation of approximately 15% and 12%, respectively.
- Retrospective application to 14 data sets demonstrated the utility and validity of the inspection by variables method.
Conclusions:
- Inspection by variables is a superior acceptance criterion for bioanalysis, offering improved scientific rigor and immediate quality assessment.
- The proposed AQL standard of 6.50% with defined specifications provides a reliable framework for bioanalytical quality control.
- This method enhances the efficiency and validity of bioanalytical data acceptance compared to traditional approaches.