Genetic Algorithms-Based Approach for Wavelength Selection in Spectrophotometric Determination of Vitamin B12 in Pharmaceutical Tablets by Partial Least-Squares

Abstract

This study illustrated the genetic algorithms (GA) is useful tool in wavelength selection for the spectrophotometric determination of vitamin B12 in pharmaceutical tablets by partial least-squares calibration procedure (PLS). Because of interference in the spectra, a training set of the mixtures of vitamin B12 and tablet excipients was built to be used as calibration set for modeling. The absorption spectra of all solutions were recorded each 1 nm in the range 354-600 nm, using 0.1N hydrochloric acid as solvent. A validation set was employed to verify the models and a commercial sample was analysed. GA-PLS model leads to 86% improvement of predictive ability for vitamin B12, when comparing with full spectrum PLS model. It is concluded that only some variables in GA-PLS modeling are relevant for prediction and removing the non-relevant variables can improve the predictive capability.