Green analytical comparison and central composite design optimization for simultaneous estimation of pain management drugs using RP-liquid chromatography

Abstract

The Central Composite Design method was utilized to validate a precise RP-HPLC method for concurrently determining the quantities of Paracetamol (PC), Diclofenac Sodium (DS), and Eperisone Hydrochloride (EH) in tablet compositions. By employing Design of Experiment (DOE), the experimental parameters were fine-tuned, resulting in an optimized eluent consisting of methanol: water (90:10) with 0.1 % orthophosphoic acid at a eluent velocity of 1 mL/min. The method exhibited exceptional purities: PC (100.83 % ± 0.85), DS (102.01 % ± 0.90), and EH (100.49 % ± 1.29). Regression equations were formulated for PC, DS, and EH as follows: y = 479762x + 151907, y = 2182788x + 2409442, and y = 777144x − 1146334, respectively. The analytical method underwent comprehensive validation, including tests for: Accuracy, Precision, Linearity and Robustness. To assess the method’s environmental impact, several Green Analytical Chemistry (GAC) tools were employed. These tools provided a multifaceted evaluation of the method’s sustainability and eco-friendlines