Abstract
Polycyclic aromatic hydrocarbons (PAHs), as one of petroleum pollutants, have increasingly threatened the ecological environment and human health due to its strong carcinogenicity, whose fast and efficient detection has consequently become a global subject. Nowadays, fluorescence spectrometry, especially three-dimensional fluorescence spectroscopy has been used to directly detect PAHs in the environment for the high sensitivity and selectivity. Parallel factor analysis is used for separation from the spectrum of different fluorescence matters. In the paper, taking anthracene, pyrene and phenanthrene as PAHs research object, parallel factor analysis was adopted to resolve respective characteristic spectrum from three-dimensional fluorescence spectrum of PAHs mixture. The experimental results showed that this kind of method achieved good separation for mixture of anthracene, pyrene and phenanthrene, which proved its feasibility and validity to discriminate overlapping spectra of multiconstituents of PAHs.
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Acknowledgments
This research was performed with financial support from Tianjin Science and Technology Development Fund of Higher School (20140621) and Tianjin Natural Science Foundation (14JCYBJC30400).
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Dong, G., Yang, R., Yang, Y., Yu, Y., Yang, X. (2016). Discrimination of Three-Dimensional Fluorescence Spectra of PAHs Mixture Using Parallel Factor Analysis. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49831-6_67
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DOI: https://doi.org/10.1007/978-3-662-49831-6_67
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