Volume 13 Issue 4
Aug.  2020
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GU Yan-hong, ZUO Zhao-lu, ZHANG Zhen-zhen, SHI Chao-yi, GAO Xian-he, LU Jun. Algorithmic study of total petroleum hydrocarbons in contaminated soil by three-dimensional excitation-emission matrix fluorescence spectroscopy[J]. Chinese Optics, 2020, 13(4): 852-864. doi: 10.37188/CO.2019-0216
Citation: GU Yan-hong, ZUO Zhao-lu, ZHANG Zhen-zhen, SHI Chao-yi, GAO Xian-he, LU Jun. Algorithmic study of total petroleum hydrocarbons in contaminated soil by three-dimensional excitation-emission matrix fluorescence spectroscopy[J]. Chinese Optics, 2020, 13(4): 852-864. doi: 10.37188/CO.2019-0216

Algorithmic study of total petroleum hydrocarbons in contaminated soil by three-dimensional excitation-emission matrix fluorescence spectroscopy

Funds:  Supported by the Anhui Province Natural Key Science and Technology Projects (No. KJ2018A0547); Talent Research Foundation of Hefei University (No. 18-19RC47); Natural Science Foundation of Anhui Province (No. 2008085QF316)
More Information
  • Author Bio:

    Gu Yanhong (1989—), female, born in Jining, Shandong province. Ph.D. She received her Ph.D. from The University of Science and Technology of China in 2017. She mainly engaged in the research of spectral detection and analysis. E-mail:guyanhong66@163.com

    Zuo Zhaolu (1984—), male, born in Changchun, Jilin province. He received his Ph.D. from The University of Science and Technology of China, and now he is a postdoctor of Anhui Institute of Circular Economy Technology. He is mainly engaged in the research of optical detection and analysis. E-mail:zlzuo@hfcas.ac.cn

  • Corresponding author: zlzuo@hfcas.ac.cn
  • Received Date: 13 Nov 2019
  • Rev Recd Date: 09 Dec 2019
  • Available Online: 15 Sep 2021
  • Publish Date: 01 Aug 2020
  • Assessment of Total Petroleum Hydrocarbons (TPHs) from contaminated soils demands reliable measurement to analyze the types and contents of mixed petroleum hydrocarbons in soils. Three-dimensional excitation-emission matrix (3DEEM) fluorescence spectroscopy has been demonstrated as a powerful technology for rapidly analyzing mixed petroleum hydrocarbons by identifying its abundant spectral information. However, detection precision in soil still demands improvement. This study investigates the correction methods of 3DEEM fluorescence spectra to correct the complicated matrix and scattering effects of soils. To improve the analytical accuracy, parallel factor analysis (PARAFAC) and the Alternating Trilinear Decomposition method (ATLD) were used to qualitatively and quantitatively analyze mixed petroleum contaminated soils. The methods were used to assess three commonly observed petroleum hydrocarbons: machine oil, lubricating oil, and diesel oil. Compared with the results of PARAFAC, the average recoveries of ATLD increased from 85% to 95%, implying that ATLD can effectively distinguish between similar fluorescence spectra and is more effective in the detection of the components and total content of petroleum in soil. This work can have applications of risk assessment and remediation techniques.

     

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