Enhanced application of square wave voltammetry with glassy carbon electrode coupled to multivariate calibration tools for the determination of B6 and B12 vitamins in pharmaceutical preparations

S HERNANDEZ,; G RIVERO,; GOICOECHEA, HÉCTOR C

TALANTA

Elsevier

Año: 2003 vol. 61 p. 743 - 753

0039-9140

Vitamins B6 (VB6) and B12 (VB12) were simultaneously determined in pharmaceutical preparations by using square wave voltametry (SWV) together with artificial neural networks (ANNs). Supporting electrolyte solution, pH and6 (VB6) and B12 (VB12) were simultaneously determined in pharmaceutical preparations by using square wave voltametry (SWV) together with artificial neural networks (ANNs). Supporting electrolyte solution, pH andve voltametry (SWV) together with artificial neural networks (ANNs). Supporting electrolyte solution, pH and voltametric technique were optimised. The calibration set was built with several artificial samples containing both active ingredients and excipients. Deviations from linearity were observed for both analytes. It is probably due to interactions among the electro active components and competition by the electrode surface, fact that supports the use of ANNs. Recoveries when analysing a nine sample validation set, of 100.2 and 96.4 were calculated for VB6 and VB12, respectively. Commercial samples were analysed with reasonably good results considering the complexity of the mixture studied.oltametric technique were optimised. The calibration set was built with several artificial samples containing both active ingredients and excipients. Deviations from linearity were observed for both analytes. It is probably due to interactions among the electro active components and competition by the electrode surface, fact that supports the use of ANNs. Recoveries when analysing a nine sample validation set, of 100.2 and 96.4 were calculated for VB6 and VB12, respectively. Commercial samples were analysed with reasonably good results considering the complexity of the mixture studied.viations from linearity were observed for both analytes. It is probably due to interactions among the electro active components and competition by the electrode surface, fact that supports the use of ANNs. Recoveries when analysing a nine sample validation set, of 100.2 and 96.4 were calculated for VB6 and VB12, respectively. Commercial samples were analysed with reasonably good results considering the complexity of the mixture studied.ve components and competition by the electrode surface, fact that supports the use of ANNs. Recoveries when analysing a nine sample validation set, of 100.2 and 96.4 were calculated for VB6 and VB12, respectively. Commercial samples were analysed with reasonably good results considering the complexity of the mixture studied.veries when analysing a nine sample validation set, of 100.2 and 96.4 were calculated for VB6 and VB12, respectively. Commercial samples were analysed with reasonably good results considering the complexity of the mixture studied.vely. Commercial samples were analysed with reasonably good results considering the complexity of the mixture studied.