[Application of artificial neural network to simultaneous spectrofluorimetric determination of vitamin B1, B2 and B6].
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%.
Wu
Gen-hua
GH
Department of Chemistry, Anqing Normal College, Anqing 246011, China.
He
Chi-yang
CY
D000465:Algorithms; D016571:Neural Networks, Computer; D012256:Riboflavin / Q000032:analysis*; D013050:Spectrometry, Fluorescence; D013831:Thiamine / Q000032:analysis*; D025101:Vitamin B 6 / Q000032:analysis*
D025101:Vitamin B 6; D012256:Riboflavin; D013831:Thiamine