(a)Cátedra de Quimica Analitica I, Facultad de Bioquimica y Ciencias Biológicas, Universidad Nacional del Litoral (UNL), Ciudad Universitaria, S3000 Santa Fe, Argentina.
Talanta. 2003 Dec 4;61(5):743-53. doi: 10.1016/S0039-9140(03)00335-7.
Vitamins B(6) (VB(6)) and B(12) (VB(12)) were simultaneously determined in pharmaceutical preparations by using square wave 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 VB(6) and VB(12), respectively. Commercial samples were analysed with reasonably good results considering the complexity of the mixture studied.
维生素 B(6) (VB(6)) 和维生素 B(12) (VB(12)) 同时在药物制剂中通过使用方波伏安法 (SWV) 和人工神经网络 (ANNs) 进行了测定。优化了支持电解质溶液、pH 值和伏安技术。校准集是用含有两种活性成分和赋形剂的人工样品构建的。两种分析物都观察到了线性偏离。这可能是由于电活性成分之间的相互作用和电极表面的竞争，这支持了使用 ANNs。在分析一个包含 9 个样品的验证集时，VB(6) 和 VB(12) 的回收率分别计算为 100.2%和 96.4%。考虑到所研究混合物的复杂性，商业样品的分析结果相当不错。
