• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 5, 1535 (2022)
Xiao-yu JIANG1、*, Fu-sheng LI2、2; *;, Qing-ya WANG1、1; 2;, Jie LUO3、3;, Jun HAO1、1; 2;, and Mu-qiang XU1、1; 2;
Author Affiliations
  • 11. Engineering Research Center of Nuclear Technology Application, Ministry of Education, East China University of Technology, Nanchang 330013, China
  • 22. State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China
  • 33. Yangtze University, Wuhan 430000, China
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    DOI: 10.3964/j.issn.1000-0593(2022)05-1535-06 Cite this Article
    Xiao-yu JIANG, Fu-sheng LI, Qing-ya WANG, Jie LUO, Jun HAO, Mu-qiang XU. Determination of Lead and Arsenic in Soil Samples by X Fluorescence Spectrum Combined With CARS Variables Screening Method[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1535 Copy Citation Text show less
    Noise and baseline correction results for the spectra of soil samples(a): Raw spectra of 139 soil samples; (b): Denoising and baseline corrected spectra of 139 soil samples
    Fig. 1. Noise and baseline correction results for the spectra of soil samples
    (a): Raw spectra of 139 soil samples; (b): Denoising and baseline corrected spectra of 139 soil samples
    Plots of CARS variable selection for Lead in soil
    Fig. 2. Plots of CARS variable selection for Lead in soil
    Plots of CARS variable selection for Arsenic in soil
    Fig. 3. Plots of CARS variable selection for Arsenic in soil
    Comparison of measured values and predicted values of Lead and Arsenic corrected Set of each model
    Fig. 4. Comparison of measured values and predicted values of Lead and Arsenic corrected Set of each model
    元素样本集样本数范围/
    (mg·kg-1)
    均值/
    (mg·kg-1)
    Pb校正集9710.2~2 690.2400.9
    预测集4213.4~636.3359.6
    As校正集971.7~706.9274.4
    预测集424.4~416.7235.8
    Table 1. Descriptive statistics of measured soil Lead and Arsenic content
    元素采样次数变量个数
    Pb2660
    As3419
    Table 2. Sampling frequency and variable number in optimal variables subset of Pb and As when RMSECV value is lowest in soil samples
    方法变量个数校正集预测集
    R2RMSECVRMSEPRPDR2RMSECVRMSEPRPD
    PLS2 0480.987 83.621 25.381 28.123 20.983 53.533 25.290 88.690 8
    CARS-PLS600.997 32.610 13.322 19.351 80.995 52.598 63.228 09.401 1
    SPA-PLS270.989 83.643 95.391 88.177 40.980 53.549 55.344 58.611 4
    MC-UVE-PLS490.995 53.153 13.553 28.997 80.995 73.058 53.685 09.036 6
    Table 3. PLS modeling results of quantitative determination of Lead in soil samples
    方法变量个数校正集预测集
    R2RMSECVRMSEPRPDR2RMSECVRMSEPRPD
    PLS2 0480.975 94.623 74.784 97.623 90.975 14.520 34.564 37.520 1
    CARS-PLS190.990 62.923 72.933 18.156 60.989 93.013 22.737 18.211 6
    SPA-PLS90.984 34.317 14.358 47.643 30.988 14.334 54.288 57.593 0
    MC-UVE-PLS300.985 03.329 23.613 57.678 60.989 53.310 23.419 07.896 5
    Table 4. PLS modeling results of quantitative determination of Arsenic in soil samples
    Xiao-yu JIANG, Fu-sheng LI, Qing-ya WANG, Jie LUO, Jun HAO, Mu-qiang XU. Determination of Lead and Arsenic in Soil Samples by X Fluorescence Spectrum Combined With CARS Variables Screening Method[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1535
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