Application of artificial neural network to simultaneous spectrofluorimetric determination of vitamin B1, B2 and B6

被引：0

作者：

Wu, GH ^{[1
]}

He, CY ^{[1
]}

机构：

[1] Anqing Normal Coll, Dept Chem, Anqing 246011, Peoples R China

来源：

SPECTROSCOPY AND SPECTRAL ANALYSIS | 2003年 / 23卷 / 03期

关键词：

artificial neural network; fluorimetry; back-propagation of error (BP); vitamin B;

D O I：

暂无

中图分类号：

O433 [光谱学];

学科分类号：

0703 ; 070302 ;

摘要：

By means of artificial neural network and Levenberg-Marquardt back-propagation training algorithm, the three components of vitamin B-1, B-2, B-6 were determined simultaneously, in which the spectra overlapped. In the range of 390-520 nm, the fluorescence intensities at 15 wavelengths were taken as a character of the artificial neural network, and samples were arranged by the method of equality design. The mean recoveries of vitamin B-1, vitamin B-2, and vitamin B-6 were 99.86%, 99.60% and 99.49% respectively. The RSDs of the results were 1.7%, 1.6%, and 1.7%.

引用

页码：535 / 538

页数：4