Acta Photonica Sinica, Volume. 54, Issue 8, 0830001(2025)

Research on the Construction and Method of Fluorescence In-situ Selective Quantitative Detection System for Pesticide Pollutants in Groundwater

Hengxin SONG1,2,3, Ruifang YANG2,3、*, Yuxi JIANG2,3,4, Nanjing ZHAO1,2,3,5、**, Gaofang YIN2,3, Jingbo DUAN2,3, Ming GAO5, and Yingchong WANG2,3,4
Author Affiliations
  • 1School of Biological, Food and Environmental Engineering, Hefei University, Hefei 230601, China
  • 2Key Laboratory of Environmental Optics and Technology, Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
  • 3Key Laboratory of Environmental Optical Monitoring Technology, Anhui Province , Hefei 230031, China
  • 4University of Science and Technology of China, Hefei 230026, China
  • 5Institute of Materials Science and Information Technology, Anhui University,Hefei 230601,China
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    Figures & Tables(21)
    The three-dimensional fluorescence spectra of five pesticides
    Comparison of correlation and detection limits between concentrations and signals of five pesticides
    255 nm, 265 nm and 285 nm UV light source spectra
    Detector and its response characteristic curve
    Transmission curve of 340 nm filter
    Multi-wavelength detection optical module
    Schematic of the signal acquisition module
    Synchronous integrated fluorescence signal detection circuit
    Noise after processing
    Detection sensitivity and linear correlation of the integrated circuit
    Relationship between integration time and output in an integrating circuit
    Plots of fluorescence intensity versus concentration of five pesticides
    Plots of fluorescence intensity versus concentration of five pesticides by Hitachi F-7000 fluorescence spectrometer
    Plot of concentration versus signal for five pesticides
    Results of quantitative model analysis
    • Table 1. The main reagents

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      Table 1. The main reagents

      Chemical agentMolecular formulaPurityProduction company
      ChorothalonilC8Cl4N2≥99%Shanghai Aladdin Biochemical Technology Co., Ltd
      ChlorpyrifosC9H11Cl3NO3PS≥99%Shanghai Aladdin Biochemical Technology Co., Ltd
      FuberidazoleC11H8N2O≥99%Shanghai Aladdin Biochemical Technology Co., Ltd
      CarbarylC12H11NO2≥99%Shanghai Aladdin Biochemical Technology Co., Ltd
      CarbendazimC9H9N3O2≥99%Shanghai Aladdin Biochemical Technology Co., Ltd
    • Table 2. Linear regression equation, fitting coefficient, detection limit of five pesticides for each channel

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      Table 2. Linear regression equation, fitting coefficient, detection limit of five pesticides for each channel

      PesticidesLight path channelLinearFitting factor/R2LOD/(μg·L-1
      Chorothalonil

      255~340

      265~340

      y=74.04x-257.15

      y=37.29x-286.96

      0.997 9

      0.997 3

      0.1

      0.3

      Chlorpyrifos

      265~340

      285~340

      y=1.12x+36.12

      y=7.28x+181.06

      0.998 4

      0.990 3

      6.5

      6.5

      Fuberidazole

      255~340

      265~340

      285~340

      y=5 495.78x-792.33

      y=4 828.34x-703.10

      y=19 435.60x-3 210.1

      0.999 5

      0.999 5

      0.999 9

      0.002

      0.003

      0.002

      Carbaryl

      255~340

      265~340

      285~340

      y=197.82x-151.90

      y=291.24x-183.87

      y=625.13x-742.44

      0.999 8

      0.999 9

      0.999 8

      0.05

      0.04

      0.08

      Carbendazim

      255~340

      265~340

      285~340

      y=2.43x-88.65

      y=3.48x+493.64

      y=9.48x+80.92

      0.996 8

      0.996 8

      0.997 4

      2.01

      1.7

      1.7

    • Table 3. Linear regression equation, fitting coefficient, detection limit of five pesticides by Hitachi F-7000 fluorescence spectrometer

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      Table 3. Linear regression equation, fitting coefficient, detection limit of five pesticides by Hitachi F-7000 fluorescence spectrometer

      PesticidesLight path channelLinearFitting factor/R2LOD/(μg·L-1
      Chorothalonil

      255~340

      265~340

      y=2.77x+22.02

      y=1.85x+15.81

      0.994 4

      0.996 4

      2.6

      3.2

      Chlorpyrifos285~340y=0.22x+8.440.974 226.0
      Fuberidazole

      255~340

      265~340

      285~340

      y=246.16x-39.27

      y=223.09x-21.64

      y=462.28x-43.49

      0.991 3

      0.995 5

      0.995 0

      0.03

      0.03

      0.02

      Carbaryl

      255~340

      265~340

      285~340

      y=16.91x-62.64

      y=29.76x+16.09

      y=35.91x-20.66

      0.975 2

      0.995 3

      0.996 6

      0.4

      0.2

      0.2

      Carbendazim

      255~340

      265~340

      285~340

      y=0.24x+19.54

      y=0.32x+21.76

      y=0.73x+59.52

      0.978 6

      0.991 4

      0.982 6

      30.3

      18.6

      7.8

    • Table 4. Linear regression equation, fitting coefficient, detection limit for target pesticides

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      Table 4. Linear regression equation, fitting coefficient, detection limit for target pesticides

      PesticidesLigh tpath channelLinearFitting factor/R2LOD/(μg·L-1
      Chorothalonil

      255~340

      265~340

      y=46.62x-8.06

      y=29.12x-155.15

      0.997 3

      0.998 1

      1.3

      0.4

      Chlorpyrifos

      265~340

      285~340

      y=0.93x+106.84

      y=7x+6.42

      0.955 7

      0.998 2

      12.7

      6.9

      Fuberidazole

      255~340

      265~340

      285~340

      y=4 085.11x-154.49

      y=3 942.02x-109.53

      y=15 124.92x-314.75

      0.999 9

      0.998 9

      0.999 8

      0.01

      0.003

      0.002

      Carbaryl

      255~340

      265~340

      285~340

      y=108.43x+1 694.19

      y=202.86x-915.74

      y=198.55x+2 523.79

      0.984 0

      0.976 6

      0.976 5

      0.6

      0.06

      0.1

      Carbendazim

      255~340

      265~340

      285~340

      y=3.77x+92.72

      y=5.56x+19.41

      y=14.24x+730.74

      0.995 1

      0.958 9

      0.990 8

      6.6

      2.1

      1.9

    • Table 5. Results of qualitative model analysis

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      Table 5. Results of qualitative model analysis

      ComponentTest Set_totolTest Set_realAccuracy rate
      One-component sample403792.5%

      Mixed samples of Chlorothalonil, Chlorpyrifos, Fuberidazole,

      Carbaryl and Carbendazim

      282796.4%

      Chlorpyrifos mixed with Fuberidazole, Carbarydine and

      Carbendazim

      201890%
      Mixed samples of Fuberidazole, Carbaryl and Carbendazim121191.7%
      Carbaryl mixed with Carbendazim88100%
    • Table 6. Results of quantitative model analysis

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      Table 6. Results of quantitative model analysis

      ComponentMAEM10%~20%M0%~10%
      One-component sample0.8%3/4037/40
      Mixed samples of Chlorothalonil, Chlorpyrifos, Fuberidazole, Carbaryl and Carbendazim2.4%0/2825/28

      Chlorpyrifos mixed with Fuberidazole,

      Carbarydine and Carbendazim

      4.9%6/2014/20
      Mixed samples of Fuberidazole, Carbaryl and Carbendazim15.6%4/128/12
      Carbaryl mixed with carbendazim10.6%6/82/8
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    Hengxin SONG, Ruifang YANG, Yuxi JIANG, Nanjing ZHAO, Gaofang YIN, Jingbo DUAN, Ming GAO, Yingchong WANG. Research on the Construction and Method of Fluorescence In-situ Selective Quantitative Detection System for Pesticide Pollutants in Groundwater[J]. Acta Photonica Sinica, 2025, 54(8): 0830001

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    Paper Information

    Category:

    Received: Feb. 24, 2025

    Accepted: Apr. 29, 2025

    Published Online: Sep. 26, 2025

    The Author Email: Ruifang YANG (rfyang@aiofm.ac.cn), Nanjing ZHAO (njzhao@aiofm.ac.cn)

    DOI:10.3788/gzxb20255408.0830001

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