Genetic algorithms-based approach for wavelength selection in spectrophotometric determination of paracetamol and chlorzoxazone in tablet preparation by partial least-squares

Abstract

This study illustrated the genetic algorithms (GA) is useful tool in wavelength selection for the simultaneous spectrophotometric determination of paracetamol (PAR) and chlorzoxazone (CZX) in a multicomponent pharmaceutical dosage form by partial least-squares calibration procedure. Artificial, a training set of the mixtures of PAR and CZX corresponding to central composite design was built to be used as calibration set for PLS and GA-PLS. Synthetic mixtures were used to verify the models. Reasonably good recoveries were obtained and it leads to 32% improvement of predictive ability for PAR and 35% for CZX, respectively. A commercial sample containing two drugs was assayed, and there was statistically no significant difference (P < 0.05) between the results with GA-PLS method and those obtain with the official method. The proposed method has been proved to be beneficial for the determination of both drugs in pharmaceutical tablets without prior extraction.