Chinese Journal of Lasers, Volume. 47, Issue 5, 0511001(2020)

Quantitative Analysis of Mn in Soil Based on Laser-Induced Breakdown Spectroscopy Optimization

Wen Sha1, Jiangtao Li1, and Cuiping Lu2、*
Author Affiliations
  • 1School of Electrical Engineering and Automation, Anhui University, Hefei, Anhui 230061, China
  • 2School of Advanced Manufacturing Engineering, Hefei University, Hefei, Anhui 230601, China
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    Figures & Tables(12)
    Schematic of LIBS system
    Mn element spectrum of No.1 soil sample
    Renderings of GA-SVM method. (a) Training set; (b) test set
    Renderings of PSO-SVM method. (a) Training set; (b) test set
    Renderings of LS-SVM method. (a) Training set; (b) test set
    Absolute error diagrams of Mn element. (a) Training set; (b) test set
    • Table 1. Actual mass fraction of Mn element

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      Table 1. Actual mass fraction of Mn element

      Training setnumberActualmass fraction /(10-4%)Training setnumberActualmass fraction /(10-4%)Training setnumberActualmass fraction /(10-4%)Test setnumberActualmass fraction /(10-4%)
      11134.6131157.5251229.21533.4
      2432.314622.326788.82540.6
      3468.9151220.527769.23581.1
      4997.8161036.9281333.14613.6
      5905.817498.829728.25622.2
      6650.618510.930523.66666.4
      71184.719906.931619.57717.9
      81470.320499.032633.18751.4
      9744.221643.933789.091025.0
      10703.522973.034827.5101258.7
      11715.923730.5
      12631.124888.1
    • Table 2. Results of GSM-SVM optimization method

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      Table 2. Results of GSM-SVM optimization method

      Parametert /sRtra2Rt2AverageRe /%
      Result1.83130.8660.8978.7
    • Table 3. Results of GA-SVM optimization method

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      Table 3. Results of GA-SVM optimization method

      Parametert /sRtra2Rt2AverageRe /%
      Result3.84750.9390.8947.7
    • Table 4. Results of PSO-SVM optimization method

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      Table 4. Results of PSO-SVM optimization method

      Parametert /sRtra2Rt2AverageRe /%
      Result3.50370.8620.8958.8
    • Table 5. Results of LS-SVM optimization method

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      Table 5. Results of LS-SVM optimization method

      Parametert /sRtra2Rt2AverageRe /%
      Result0.01820.9980.9675.4
    • Table 6. Relative error of mass fraction of Mn element test set

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      Table 6. Relative error of mass fraction of Mn element test set

      No.12345678910Average
      Actual /(10-4%)533.6540.6518.1613.6622.2666.2718.0751.41025.01258.7724.7
      MIR583.7564.1671.4598.0812.5656.9655.5803.71043.61323.9771.3
      GSM575.5568.6685.0604.6828.5661.0658.6800.71037.11316.3773.6
      Predicted /(10-4%)GA529.1516.8592.2590.9715.8601.7529.9699.01088.91232.3709.7
      PSO580.4572.9687.8606.9830.2664.7662.1802.91033.21311.9775.3
      LS616.6587.0556.7625.3652.6686.6702.7703.41060.61316.8750.8
      MIR9.44.315.52.530.61.48.77.01.85.28.6
      GSM7.95.217.91.533.20.88.36.61.24.68.7
      Re/%GA0.84.41.93.715.09.726.27.06.22.17.7
      PSO8.86.018.41.133.40.27.86.90.84.28.8
      LS15.68.64.21.94.93.12.16.43.53.35.4
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    Wen Sha, Jiangtao Li, Cuiping Lu. Quantitative Analysis of Mn in Soil Based on Laser-Induced Breakdown Spectroscopy Optimization[J]. Chinese Journal of Lasers, 2020, 47(5): 0511001

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    Paper Information

    Category: spectroscopy

    Received: Dec. 11, 2019

    Accepted: Jan. 19, 2020

    Published Online: May. 12, 2020

    The Author Email: Lu Cuiping (632790346@qq.com)

    DOI:10.3788/CJL202047.0511001

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