Chinese Journal of Lasers, Volume. 49, Issue 18, 1811001(2022)

Baseline Correction for Raman Spectroscopy Using Cubic Spline Smoothing Combined with Discrete State Transformation Algorithm

Zekai Yao, Yaoyi Cai*, Shiwen Li, and Yifei Chen
Author Affiliations
  • College of Engineering and Design, Hunan Normal University, Changsha 410081, Hunan, China
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    Figures & Tables(8)
    Process of baseline fitting by cubic spline smoothing combined with discrete state transformation algorithm (DSTAspline)
    Estimated results for simulated spectrum and the comparison among airPLS, IAsLS, AWSF and DSTAspline. (a) Estimated baseline and corrected Raman spectrum by DSTAspline; (b) comparison among airPLS, IAsLS, AWSF and DSTAspline
    Estimated results for noise spectrum and the comparison among airPLS, IAsLS, AWSF and DSTAspline. (a) Baseline correction for noise spectrum by DSTAspline; (b) comparison among airPLS, IAsLS, AWSF and DSTAspline
    Applications of the proposed baseline correction method to rhodamine B and tricyclazole. (a) Rhodamine B; (b) tricyclazole
    Comparison among airPLS, IAsLS, AWSF and DSTAspline baseline correction methods for Raman spectra of rhodamine B and tricyclazole. (a) Rhodamine B; (b) tricyclazole
    Original and corrected Raman spectra of peanut oil adulterated with rapeseed oil by the proposed DSTAspline baseline correction method. (a) Original Raman spectra; (b) corrected Raman spectra
    Correlation between actual and predicted values of peanut oil adulteration of rapeseed oil based on PLSR and the proposed baseline correction method. (a) No baseline correction; (b) DSTAspline baseline correction
    • Table 1. Comparison among airPLS, IAsLS, ASWF and DSTAspline for simulated Raman spectra

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      Table 1. Comparison among airPLS, IAsLS, ASWF and DSTAspline for simulated Raman spectra

      MethodsSimulated spectrumSimulated spectrum with noise (SNR: 22 dB)
      ParametersTime /sRMSEParametersTime /sRMSE
      airPLSλ=105, p=0.050.0070.796λ=105, p=0.050.0155.927
      IAsLSλ1=105λ2=10-2, p=0.050.1820.264λ1=105λ2=10-2, p=0.050.8605.476
      ASWFWin_min 10, λ=10-70.2520.518Win_min 10, λ=10-70.5432.213
      DSTAsplinePf=0.1, λ=10-70.0730.109Pf=0.1, λ=10-70.0700.811
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    Zekai Yao, Yaoyi Cai, Shiwen Li, Yifei Chen. Baseline Correction for Raman Spectroscopy Using Cubic Spline Smoothing Combined with Discrete State Transformation Algorithm[J]. Chinese Journal of Lasers, 2022, 49(18): 1811001

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    Paper Information

    Category: spectroscopy

    Received: Dec. 1, 2021

    Accepted: Jan. 14, 2022

    Published Online: Aug. 10, 2022

    The Author Email: Cai Yaoyi (cyy@hunnu.edu.cn)

    DOI:10.3788/CJL202249.1811001

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