Optics and Precision Engineering, Volume. 33, Issue 10, 1627(2025)

Research on water identification and rapid analysis algorithm for components based on 3d fluorescence spectroscopy

Zancheng JIANG1,2, Ruijie WANG1, Xiaoliang XU1, Binqiang YE3,4、*, and Peng FENG1、*
Author Affiliations
  • 1The Key Lab of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing400044, China
  • 2Sichuan Belam Technology Co., Ltd., Mianyang61900, China
  • 3College of Artificial Intelligence, Chongqing University of Technology, Chongqing400054, China
  • 4School of Microelectronics and Communication Engineering, Chongqing University, Chongqing000, China
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    Figures & Tables(7)
    Water body organic pollutant identification overall process diagram
    Rapid detection and identification process based on three-dimensional fluorescence spectroscopy
    Three-dimensional fluorescence spectra of sample dw before and after pre-treatment
    Extraction of characteristic peak positions for different samples
    EEM_MSVM classification model results
    Comparison of component maps fitted by EEM_MSVM model and component maps obtained by PARAFAC
    • Table 1. Water solution sample

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      Table 1. Water solution sample

      TypesLabelNumber
      Domestic WastewaterDW1 200
      RainRA600
      Surface WaterSW900
      Pure Fluorescent GroupsPU240
      Total2 940
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    Zancheng JIANG, Ruijie WANG, Xiaoliang XU, Binqiang YE, Peng FENG. Research on water identification and rapid analysis algorithm for components based on 3d fluorescence spectroscopy[J]. Optics and Precision Engineering, 2025, 33(10): 1627

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    Paper Information

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    Received: Oct. 31, 2024

    Accepted: --

    Published Online: Jul. 23, 2025

    The Author Email: Binqiang YE (coe-fp@cqu.edu.cn)

    DOI:10.37188/OPE.20253310.1627

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