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