Spectroscopy and Spectral Analysis, Volume. 42, Issue 8, 2387(2022)

Quantitative Analysis of Soil Heavy Metal Elements Based on Cavity Confinement LIBS Combined With Machine Learning

Ye-kun LIU*... Xiao-jian HAO*;, Yan-wei YANG, Wen-yuan HAO, Peng SUN and Bao-wu PAN |Show fewer author(s)
Author Affiliations
  • Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China
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    Figures & Tables(8)
    Schematic diagram of the experimental device
    Intensities of Ni and Ba with delay time under two LIBS conditions
    The SNR of two elements under different conditions(a): Ni Ⅱ 221.648 nm; (b): Ba Ⅱ 475.709 nm
    The enhancement factors of Ni and Ba elements with delay time
    Cumulative contribution rate of principal components after PCA dimensionality reduction
    The prediction results of Ni element using different models(a): Lasso; (b): AdaBoost; (c): RF
    The prediction results of Ba element using different models(a): Lasso; (b): AdaBoost; (c): RF
    • Table 1. Contents of Ni, Ba in soil samples

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      View in Article

      Table 1. Contents of Ni, Ba in soil samples

      Sample
      number
      Ni element content
      /(mg·kg-1)
      Ba element content
      /(mg·kg-1)
      1#141 100
      2#18750
      3#26800
      4#22450
      5#30500
      6#35400
      7#40350
      8#69160
      9#55200
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    Ye-kun LIU, Xiao-jian HAO, Yan-wei YANG, Wen-yuan HAO, Peng SUN, Bao-wu PAN. Quantitative Analysis of Soil Heavy Metal Elements Based on Cavity Confinement LIBS Combined With Machine Learning[J]. Spectroscopy and Spectral Analysis, 2022, 42(8): 2387

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    Paper Information

    Category: Orginal Article

    Received: Jul. 11, 2021

    Accepted: --

    Published Online: Mar. 17, 2025

    The Author Email: LIU Ye-kun (931262129@qq.com)

    DOI:10.3964/j.issn.1000-0593(2022)08-2387-05

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