Determination of benazepril HCI and hydrochlorothiazide in pharmaceutical preparations using UV visible spectrophotometry and genetic multivariate calibration methods
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Simultaneous determination of binary mixtures of benazepril and hydrochlorothiazide in pharmaceutical tablets using UV visible spectrophotometry, classical least squares (CLS) and three genetic algorithms (GA) based multivariate calibration methods was demonstrated. The three genetic multivariate calibration methods are Genetic Classical Least Squares (GCLS), Genetic Inverse Least Squares (GILS) and Genetic Regression (GA). The sample data set contains the UV spectra of 28 synthetic mixtures of benazepril (1236 mu g/mL) and hydrochlorothiazide (10 similar to 22 mu g/mL) and 16 tablets containing both compounds. The spectra cover the range from 210 to 360 run in 0.1 nm intervals. Several calibration models were built with the four methods. The root mean square error of calibration (RMSEC) and validation (RMSEV) for the synthetic data were in the range of 0.19 and 0.34 mu g/mL for all the genetic algorithm based methods. The root mean square error of Prediction (RMSEP) values for the tablets were in the range of 0.04 similar to 0.20 mg/tablets. A comparison of genetic algorithm selected wavelengths for each component was also included.