Optimization of HPLC Method for Determination of Abraham Solvation Parameters in Pharmaceuticals

Abstract

High-performance liquid chromatography (HPLC) is a widely used analytical technique in pharmaceutical research, but its application to ionizable drug-like compounds requires optimization. This study aims to enhance the determination of Abraham solvation parameters in pharmaceuticals by refining HPLC methodologies. The research focuses on optimizing HPLC for ionizable compounds, minimizing column usage while maintaining accuracy, evaluating the role of hydrogen-bond (H-bond) descriptors in drug characterization, overcoming adaptation challenges, and improving quantitative structure-activity relationship (QSAR) modeling. A quantitative methodology was employed, with experimental HPLC analysis conducted on 62 pharmaceutical molecules. Results indicate that optimized HPLC parameters effectively accommodate ionizable compounds, while advanced materials and techniques allow for column minimization without compromising accuracy. H-bond descriptors significantly impact drug characterization, and novel approaches are required to adapt HPLC methods for complex drug matrices. Furthermore, optimized solvation parameters enhance QSAR modeling, contributing to better predictive capabilities in pharmaceutical research. These findings highlight the potential of refined HPLC methods in drug discovery and analysis.