Laser & Optoelectronics Progress, Volume. 55, Issue 1, 13004(2018)

Fluorescence Detection of Oil Pollutants Based on PARAFAC and ART Algorithms

Chen Zhikun1, Mi Yang1、*, Shen Xiaowei1, and Cheng Pengfei1,2
Author Affiliations
  • 1College of Electrical Engineering, North China University of Science and Technology, Tangshan, Hebei 0 63210, China
  • 2Measurement Technology and Instrument Key Lab of Hebei Province, Yanshan University, Qinhuangdao, Hebei 0 66004, China
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    References(20)

    [1] Gao L H. Research on coordinative of development assessment and optimization of marine ecological-economic system in China[D]. Qingdao: Ocean University of China(2012).

    [4] Zhou B B. Fluorescence detection and study of mineral oil in water[D]. Qinhuangdao: Yanshan University(2015).

    [16] Du W. Missing data recovery and alternating residual trilinearization applied to multivariate calibration and calibration transfer[D]. Changsha: Hunan University(2016).

    [17] Zhang Y. Applications of second-order calibration methods in fluorometric and chromatographic analysis[D]. Changsha: Hunan University(2009).

    [18] Liu J. Second-order calibration methods applied to determination of antitumor drugs in complex systems[D]. Changsha: Hunan University(2008).

    [20] Kang C. Chemical multi-way calibration fundamental theories and their applications to quantitative analysis in complex systems[D]. Changsha: Hunan University(2015).

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    Chen Zhikun, Mi Yang, Shen Xiaowei, Cheng Pengfei. Fluorescence Detection of Oil Pollutants Based on PARAFAC and ART Algorithms[J]. Laser & Optoelectronics Progress, 2018, 55(1): 13004

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    Paper Information

    Category: Spectroscopy

    Received: Jul. 13, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Mi Yang (18232595806@163.com)

    DOI:10.3788/LOP55.013004

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