Reliability-targeted HPLC-UV method validation--a protocol enrichment perspective.

Area of Science:

• Analytical Chemistry
• Pharmaceutical Analysis
• Biostatistics

Background:

• Method validation is crucial for reliable analytical chemistry results.
• Existing regulatory guidelines may not fully address the reliability of analytical data.
• There is a need for more robust strategies to enhance analytical method trustworthiness.

Purpose of the Study:

• To develop and validate a more reliable analytical method validation approach.
• To integrate analytical error functions and Bayesian probability studies.
• To improve the accuracy and trustworthiness of analytical results.

Main Methods:

• Determined the analytical error function using polynomial regression statistics.
• Applied Bayesian probability studies to assess result reliability over specific concentration ranges.
• Validated an HPLC-UV assay for cefepime and tazobactam in human plasma using the novel approach.

Main Results:

• The analytical error function identified optimal concentration ranges for accurate measurements.
• Bayesian analysis provided a probabilistic measure of analytical result reliability.
• The combined approach demonstrated significant improvements in analytical results compared to conventional validation.

Conclusions:

• The integration of analytical error functions and Bayesian analysis offers a more reliable method validation framework.
• This enhanced approach leads to more trustworthy and accurate analytical data.
• The method is applicable to real-world pharmaceutical analysis, such as quantifying drugs in human plasma.