Simultaneous spectrophotometric determination of phosphate and silicate by using principal component artificial neural network.
Simultaneous spectrophotometric determination of phosphate and silicate by using principal component artificial neural network.
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DOI：
10.1002/adic.200790056
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发表时间：
2007-07
期刊：
影响因子：
--
通讯作者：
K. Zarei;M. Atabati;M. Nekoei
中科院分区：
文献类型：
--
作者：
K. Zarei;M. Atabati;M. Nekoei
本文提出了一种在抗坏血酸存在下，磷钼蓝和硅钼蓝形成络合物，同时测定磷酸盐和硅酸盐的灵敏、简便、选择性好的分光光度法。尽管在抗坏血酸存在下，磷酸盐和硅酸盐与试剂的复合物显示出光谱重叠，但它们已被主成分人工神经网络（PC-ANN）同时测定。磷酸盐和硅酸盐的PC-ANN结构不同。磷酸盐PC-ANN体系结构的输出被用作硅酸盐PC-ANN体系结构的输入。这种改进提高了硅酸盐PC-ANN模型预测硅酸盐浓度的能力。磷酸盐和硅酸盐的线性范围分别为0.01-3.00 μ g/mL和0.01-5.00 μ g/mL。研究了常见阴、阳离子的干扰效应，方法用于洗涤剂中磷酸盐和硅酸盐的测定，结果满意。
A very sensitive, simple and selective spectrophotometric method for simultaneous determination of phosphate and silicate based on formation of phospho- and silicomolybdenum blue complexes in the presence of ascorbic acid is described. Although the complexes of phosphate and silicate with reagent in the presence of ascorbic acid show a spectral overlap, they have been simultaneously determined by principal component artificial neural network (PC-ANN). The PC-ANN architectures were different for phosphate and silicate. The output of phosphate PC-ANN architecture was used as an input for silicate PC-ANN architecture. This modification improves the capability of silicate PC-ANN model for prediction of silicate concentrations. The linear range was 0.01-3.00 microg mL(-1) for phosphate and 0.01-5.00 microg mL(-1) for silicate. Interference effects of common anions and cations were studied and the proposed method was also applied satisfactorily to the determination of phosphate and silicate in detergents.