Simultaneous determination of brilliant blue and indigotine by derivative fluorescence spectrometry combined with WT-RBFNN  

作　　者：马超群 陈国庆 高淑梅 陈超 史院平 谷玲 

机构地区：[1]Optical Engineering, School of Science, Jiangnan University

出　　处：《Optoelectronics Letters》2011年第2期158-160,共3页光电子快报（英文版）

基　　金：supported by the Research Fund for the Doctoral Program of Higher Education of China (No.200802950005);the Jiangsu Provincial Natural Science Foundation (No.BK2009066);the Project of Educational Commission of Jiangsu Province (Nos.JH08-18 and CX08B-088Z)

摘　　要：The mixed solutions of brilliant blue and indigotine are prepared and the fluorescence spectra of them are experimentally measured. The serious overlapping spectra of brilliant blue and indigotine are solved by means of the first-derivative fluorescence spectrometry. The wavelet coefficients, obtained by compressing the spectral data using wavelet transformation （WT）, are taken as inputs to establish the radial basis function neural network （RBFNN）. The neural network model can realize simultaneous determination of brilliant bFue and indigotine, and the mean relative errors of both compounds are 1.84% and 1.26%, respectively

关 键 词：Data compression FLUORESCENCE Fluorescence spectroscopy METADATA Radial basis function networks SPECTROMETRY Wavelet transforms 

分 类 号：O433.1[机械工程—光学工程]