A simple, cost-effective, fast and non-destructive analytical method was developed for the quantification of irbesartan in tablets using Fourier Transform Infrared (FT-IR) spectroscopy. The FTIR quantification of irbesartan in tablets was performed using two chemometric approaches, partial least squares (PLS) and principal component regression (PCR) methods. To compare the predictive ability of these models, the standard errors of prediction (SEP) were calculated. SEP error values in the range of 0.941-1.62% for calibration and validation data sets were obtained for the twoprocedures applied. A successful quantification of irbesartan in tablets containing 150 mg active ingredient/tablet was performed using the PLS model, with good recovery. The proposed procedure can be a fast, precise and convenient method of irbesartan quantification in commercial tablets.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.