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Discrimination of Three-Dimensional Fluorescence Spectra of PAHs Mixture Using Parallel Factor Analysis

机译:平行因子分析鉴别PAHs混合物的三维荧光光谱

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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.
机译:多环芳烃(PAHs)作为一种石油污染物,由于其强大的致癌性,已日益威胁到生态环境和人类健康,因此其快速有效的检测已成为全球性课题。如今,荧光光谱法,尤其是三维荧光光谱法已被用于直接检测环境中的PAHs,以实现高灵敏度和选择性。平行因子分析用于从不同荧光物质的光谱中分离。本文以蒽,pyr和菲为多环芳烃的研究对象,采用平行因子分析法从多环芳烃混合物的三维荧光光谱中解析出各自的特征光谱。实验结果表明,该方法能够很好地分离蒽,mixture和菲的混合物,证明了鉴别PAHs多组分重叠光谱的可行性和有效性。

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