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人工神经网络在维生素B1、B2和B6同步荧光光谱测定中的应用

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

作者信息

Wu Gen-hua, He Chi-yang

机构信息

Department of Chemistry, Anqing Normal College, Anqing 246011, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2003 Jun;23(3):535-8.

PMID:12953535
Abstract

By means of artificial neural network and Levenberg-Marquardt back-propagation training algorithm, the three components of vitamin B1, B2, B6 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 B1, vitamin B2, and vitamin B6 were 99.86%, 99.60% and 99.49% respectively. The RSDs of the results were 1.7%, 1.6%, and 1.7%.

摘要

采用人工神经网络和Levenberg-Marquardt反向传播训练算法,同时测定了光谱重叠的维生素B1、B2、B6三种成分。在390 - 520 nm范围内,取15个波长处的荧光强度作为人工神经网络的特征,采用均匀设计法对样品进行排列。维生素B1、维生素B2和维生素B6的平均回收率分别为99.86%、99.60%和99.49%。结果的相对标准偏差分别为1.7%、1.6%和1.7%。

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