Application of adaptive Neuro-fuzzy interference system, fuzzy interference system and least squares support vector machine for rapid simultaneous spectrophotometric determination of antipsychotic drugs in binary mixtures and biological fluid

摘要

In this study, the application of chemometrics-assisted UV spectrophotometry was presented for the simultaneous determination of Risperidone (RIS) and Haloperidol (HP) in binary mixtures and biological fluid. The basis of the spectrophotometric procedure were the least squares support vector machine (LS-SVM), fuzzy inference system (FIS), and adaptive Neuro-fuzzy inference system (ANFIS) methods. A leave-one-out (LOO) method was used to find the best value of parameters, including regularization parameter (gamma) and width of the function (sigma 2) related to the radial basis function (RBF) kernel in LS-SVM procedure. The optimum gamma and sigma were obtained 11600, 17000 and 7700, 2000 for RIS and HP, respectively. Mean percent recoveries of RIS and HP in synthetic mixtures were obtained 101.72 and 99.77, respectively. The root mean square error (RMSE) related to the FIS and ANFIS models were found 0.878, 2.124 and 0.285, 0.206 for RIS and HP, respectively. Analysis of variance (ANOVA) test indicated that there were no significant differences between the proposed methods and high-performance liquid chromatography (HPLC) as a reference technique. The obtained satisfactory results demonstrate that the use of the LS-SVM and ANFIS models coupled with UV-vis spectrophotometry are a promising idea for industrial quality control and analysis of pharmaceutical formulations.