Comparison of two augmented classical least squares algorithms and PLS for determining nifuroxazide and its genotoxic impurities using UV spectroscopy

Abstract

AbstractConcentration residual augmented classical least squares (CRACLS) and spectral residual augmented classical least squares (SRACLS) are reflecting the resolving power of spectrophotometric augmented mathematical techniques. The applied multivariate calibration methods were able to determine simultaneously the quinary mixture of nifuroxazide (NIF) and its four carcinogenic impurities, and a comparative study between the proposed models and the conventional partial least squares (PLS) algorithm was also done. Regression models were built covering the range of 10.00 to 50.00 μg mL−1 for NIF, 0.05 to 0.45 μg mL−1 (for each of impurities A and B), and 0.10 to 0.90 μg mL−1 (for impurities C and D). NIF and its four genotoxic impurities were successfully determined in the prepared mixtures and dosage forms. The efficiency of the applied algorithm for resolution and quantitation of the overlapped UV signals were compared, and the advantages over PLS mode were emphasized. The obtained results were statistically compared with each other along with those of the reported method.