Yu Xiaoya, Zhang Yujun, Yin Gaofang, Zhao Nanjing, Xiao Xue, Lu Changhua, Gao Yanwei, Zhang Wei
Key Laboratory of Environmental Optics & Technology, Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China.
Key Laboratory of Environmental Optics & Technology, Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2014 Apr 24;124:52-8. doi: 10.1016/j.saa.2013.12.033. Epub 2013 Dec 21.
Fluorescence spectroscopy is a rapid and non-destructive method for monitoring water quality. In this work, wavelet analysis, together with independent component analysis (ICA), was applied for component recognition of seriously overlapped, multi-component, three dimensional fluorescence spectra. Wavelet analysis extracts the features of the spectra and amplifies differences among phenolic homologs. ICA analysis in blind signal separation was used to separate single component before multiple linear regression (MLR). The proposed method increases the correct classification rate and enriches the spectra library. As such, it is a useful alternative to traditional techniques in component recognition.
