Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1617001(2021)

Pretreatment and Combined Method Based on Near Infrared Spectroscopy

Zhushanying Zhang1,2,3, Hanwen Gu4, Kaiwen Xie4, He Jiang4, Qinlan Xie1,2,3、*, and Jiming Sa3,4、**
Author Affiliations
  • 1College of Biomedical Engineering, South-Central University for Nationalities, Wuhan, Hubei 430074, China
  • 2Key Laboratory of Cognitive Science, State Ethnic Affairs Commission, South-Central University for Nationalities, Wuhan, Hubei 430074, China
  • 3Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, Wuhan, Hubei 430074, China;
  • 4School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
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    Figures & Tables(15)
    Physical image of the hemoglobin mimetic solution
    Raw spectra of the blood samples
    Spectra of blood after removing singular samples
    NIR obtained by single pretreatment method. (a) Mean centering; (b) scaling; (c) normalization; (d) first derivative; (e) second derivative; (f) MSC; (g) SNV; (h) MWA smoothing; (i) SG smoothing
    Optimization of MWA parameters of blood samples
    RMSECV obtained by different pretreatment methods(blood)
    Raw spectra of the phantom solution
    Spectra of the phantom solution after removing singular samples
    Spectra of the phantom solution obtained by a single pretreatment method. (a) Mean centering; (b) scaling; (c) normalization; (d) first derivative; (e) second derivative; (f) MSC; (g) SNV; (h) MWA smoothing; (i) SG smoothing
    RMSECV obtained by different pretreatment methods (phantom solution)
    • Table 1. Raw material of the hemoglobin mimetic solution

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      Table 1. Raw material of the hemoglobin mimetic solution

      OrderSolutionManufacturer
      1ultrapure waterThermo
      2bovine blood hemoglobinBiosharp
      3intralipidFRESENIUS KABI SSPC
    • Table 2. Hemoglobin contents of different data sets

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      Table 2. Hemoglobin contents of different data sets

      SampleData setNumber of samplesMaximumMinimumAverageStandard deviation
      Bloodraw set185173103137.0816.49
      calibration set139173103137.9516.40
      validation set46173106134.4616.66
      Hemoglobin mimetic solutionraw set146150577.5042.29
      calibration set110150577.3442.53
      validation set36148878.0042.14
    • Table 3. Classification of pretreatment methods

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      Table 3. Classification of pretreatment methods

      Scale scalingBaseline correctionScatter correctionSmoothing
      mean centering1st derivativeMSCMWA
      Pareto scaling2nd derivativeSNVSG
      normalization
    • Table 4. Combination of pretreatment methods (blood)

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      Table 4. Combination of pretreatment methods (blood)

      MethodCombination methodMethodCombination methodMethodCombination method
      1unpretreated8SNV151st derivative and MSC
      2mean centering9MWA16Pareto scaling and 1st derivative
      3Pareto scaling10SG171st derivative, MSC and MWA
      4normalization11Pareto scaling and MWA18Pareto scaling, MSC and MWA
      51st derivative121st derivative and MWA19Pareto scaling, 1st derivative and MWA
      62nd derivative13MSC and MWA20Pareto scaling, 1st derivative and MSC
      7MSC14Pareto scaling and MSC21Pareto scaling, 1st derivative, MSC and MWA
    • Table 5. Combination of pretreatment methods (phantom solution)

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      Table 5. Combination of pretreatment methods (phantom solution)

      MethodCombination methodMethodCombination methodMethodCombination method
      1unpretreated8SNV151st derivative and SNV
      2mean centering9MWA16mean centering and 1st derivative
      3Pareto scaling10SG171st derivative, SNV and MWA
      4normalization11mean centering and MWA18mean centering, SNV and MWA
      51st derivative121st derivative and MWA19mean centering, 1st derivative and MWA
      62nd derivative13SNV and MWA20mean centering, 1st derivative and SNV
      7MSC14mean centering and SNV21mean centering, 1st derivative, SNV and MWA
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    Zhushanying Zhang, Hanwen Gu, Kaiwen Xie, He Jiang, Qinlan Xie, Jiming Sa. Pretreatment and Combined Method Based on Near Infrared Spectroscopy[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1617001

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Oct. 11, 2020

    Accepted: Dec. 10, 2020

    Published Online: Aug. 20, 2021

    The Author Email: Qinlan Xie (xieqinlan@126.com), Jiming Sa (jimingsa@whut.edu.cn)

    DOI:10.3788/LOP202158.1617001

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