Spectrophotometric Multicomponent Analysis of Irbesartan, Hydrochlorothiazide and Ramipril in Pharmaceutical Formulations by Chemometric Techniques

Abstract

Multivariate spectrophotometric methods offer an extensive application for quantification of multicomponent mixtures that exhibit severe spectral overlapping. Partial least Squares (PLS) and Principal componenet Regression (PCR) methods were proposed for the spectrophotometric multicomponent analysis of a ternary mixture consisting of Telmisartan(TEL), Hydrochlorothiazide (HCZ) and Ramipril (RAM) without prior separation. In these chemometric techniques, the measurement of the absorbance values were made in the spectral range from 200-350 nm in the intervals of  = 1 nm at 151 wavelengths in the zero order, first and second derivative spectra of the ternary mixtures of these active ingredients in 0.1 M NaOH. The prepared calibrations of both techniques using absorbance data and concentration matrix data sets were used to predict the concentration of the active ingredients in their ternary, binary and single component mixtures. The optimized models were tested on an external validation set containing synthetic mixtures of the mentioned components. The models were finally used to assay the studied drugs in the commercial formulations. The methods are selective for the determination of telmisartan, hydrochlorothiazide and ramipril and overcome the spectral interference. The prediction values for TEL, HCZ and RAM in both models were found satisfactory.