Underdetermined blind separation of three-way fluorescence spectra of PAHs in water

Ruifang Yang; Nanjing Zhao; Xue Xiao; Wei Zhu; Yunan Chen; Gaofang Yin; Jianguo Liu; Wenqing Liu

doi:10.1016/j.saa.2018.03.046

Underdetermined blind separation of three-way fluorescence spectra of PAHs in water

Spectrochim Acta A Mol Biomol Spectrosc. 2018 Jun 15:199:80-85. doi: 10.1016/j.saa.2018.03.046. Epub 2018 Mar 16.

Authors

Ruifang Yang¹, Nanjing Zhao², Xue Xiao², Wei Zhu², Yunan Chen², Gaofang Yin², Jianguo Liu², Wenqing Liu²

Affiliations

¹ Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China. Electronic address: rfyang@aiofm.ac.cn.
² Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China.

PMID: 29573698
DOI: 10.1016/j.saa.2018.03.046

Abstract

In this work, underdetermined blind decomposition method is developed to recognize individual components from the three-way fluorescent spectra of their mixtures by using sparse component analysis (SCA). The mixing matrix is estimated from the mixtures using fuzzy data clustering algorithm together with the scatters corresponding to local energy maximum value in the time-frequency domain, and the spectra of object components are recovered by pseudo inverse technique. As an example, using this method three and four pure components spectra can be blindly extracted from two samples of their mixture, with similarities between resolved and reference spectra all above 0.80. This work opens a new and effective path to realize monitoring PAHs in water by three-way fluorescence spectroscopy technique.

Keywords: Component recognition; Polycyclic aromatic hydrocarbons; Sparse component analysis; Three-way fluorescence spectra.