Risk and DoE-Based Analytical Failure Mode Effect Analysis (AFMEA) to Simultaneous Estimation of Montelukast Sodium and Bilastine by HPTLC Method Using Enhanced AQbD Approach

Abstract

Abstract The fixed-dose combination (FDC) of montelukast sodium (MLS) and bilastine (BIL) is used for monotherapy in the patient with seasonal allergic rhinoconjuctivitis and asthma. According to the upcoming ICH (International Council for Harmonization) Q14 guideline, the development of the analytical method by the implementation of the Analytical Quality by Design (AQbD) approach based on principles of Quality Risk Management (QRM) and design of experiments (DoE) would be a regulatory requirement for the registration of new drug substance and product in ICH countries. Hence, a robust high-performance thin layer chromatography method has been developed, which was not previously reported for simultaneous estimation of MLS and BIL using risk and DoE-based enhanced AQbD approach. The analytical failure mode effect analysis (AFMEA) was started with the identification of potential analytical failure modes followed by their effect analysis by RPN ranking and filtering method. The DoE-based AFMEA was applied for optimization of high-risk analytical failure modes by central composite design using Design-Expert software. The method operable design ranges and control strategy was set for quality risk management throughout the lifecycle of the developed method. The developed method was validated as per ICH Q2 (R1) guideline. The method was applied for the assay of FDC, and results were found in compliance with the labeled claim.