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

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 blue and indigotine, and the mean relative errors of both compounds are 1.84% and 1.26%, respectively.