Analytical Investigation on Green Smart Spectrophotometric Methods Utilizing Unified Regression Equation

Abstract

Three green smart spectrophotometric methods namely; absorbance subtraction (AS), amplitude modulation (AM) and amplitude summation (A-Sum) were developed and validated for the determination of a binary mixture of chlorzoxazone (CHZ) and ibuprofen (IBU) without prior separation, using unified regression equation. The proposed spectrophotometric procedures were found to be linear in the range of (2.5-27.5 μg/ml) and (2-22 μg/ml) for CHZ and IBU, respectively. The methods were validated as per ICH guidelines and the results were found to be within the acceptable limits. The specificity was assessed by analyzing synthetic mixtures of both drugs which showed the superiority of AM and A-Sum methods over AS method in the analysis of low concentrations. The proposed methods were applied to pharmaceutical formulations and the results were statistically compared to that of a reported spectrophotometric method. The statistical comparison showed that there is no significant difference among the methods regarding both accuracy and precision.