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Rational experimental design for bioanalytical methods validation. Illustration using an assay method for total
J Wieling1, G Hendriks, W J Tamminga
1Pharma Bio-Research International BV, Science Park, Zuidlaren, Netherlands.
Journal of Chromatography. A
|April 12, 1996
Summary
This study presents a rational, total performance evaluation program for chromatographic methods, optimizing validation phases. It efficiently assesses method performance using modern statistical techniques within six analytical runs.
Area of Science:
- Analytical Chemistry
- Bioanalytical Science
- Method Validation
Background:
- Chromatographic methods require rigorous validation.
- Existing validation programs can be time-consuming and resource-intensive.
Purpose of the Study:
- To present a rational, total performance evaluation program for chromatographic methods.
- To optimize the pre-validation and main validation phases.
- To integrate modern statistical methods for efficient information utilization.
Main Methods:
- A nested experimental design performed within six analytical runs.
- Utilizing Analysis of Variance (ANOVA) for assessing fit, precision, accuracy, and stability.
- Employing regression analysis for benchtop stability and paired comparison for over-curve control/dilution.
Main Results:
- The first run assesses concentration-response, specificity, and benchtop stability.
- The subsequent five runs evaluate precision, accuracy, recovery, and freeze-thaw stability.
- The program efficiently combines multiple performance characteristic evaluations.
Conclusions:
- The proposed evaluation program streamlines chromatographic method validation.
- It maximizes information extraction from minimal experimental runs.
- Demonstrated efficacy using an HPLC method for total captopril determination in human plasma.
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