Stepwise Optimization Strategies Utilizing Recent Univariate and Multivariate Methods for Determination of the Partially Overlapped Mixture Perindopril and Indapamide

Abstract

Recently, different novel univariate methods were presented for determination of mixtures of drugs having partially overlapped UV spectra. These methods are used when one component is more extended than the other. In this study, these methods were tested for determination of Perindopril and Indapamide. The main problem with Perindopril is the absence of a sharp peak in the zero-order spectrum. The main concern was to test the applicability of the already developed methods for the determination of this type of analytes when present in mixture form. The utilized univariate methods for the determination of Perindopril were; ratio subtraction (RS), ratio subtraction-two base points (RS-2BP), ratio subtraction-area under the curve (RS-AUC), derivative subtraction (DS), derivative subtraction-two bas points (DS-2BP), and derivative subtraction-area under the curve (DS-AUC). While Indapamide was determined by ratio subtraction-constant multiplication (RS-CM), and derivative subtraction-spectrum subtraction (DS-SS) methods. Also, two multivariate spectrophotometric methods were developed and validated, Principal Component Regression (PCR) and Partial Least Squares (PLSs). Validation of the developed methods was done as per ICH guidelines. Also, a statistical comparison with the reported methods was done showing no significant difference.