Spectroscopy and Spectral Analysis, Volume. 41, Issue 12, 3747(2021)

A Method for Detecting Sucrose in Living Sugarcane With Visible-NIR Transmittance Spectroscopy

Xue-gang LÜ1、*, Xiu-hua LI1、1; 2; *;, Shi-min ZHANG2、2;, Mu-qing ZHANG1、1;, and Hong-tao JIANG1、1;
Author Affiliations
  • 11. Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning 530004, China
  • 22. School of Electrical Engineering, Guangxi University, Nanning 530004, China
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    Figures & Tables(11)
    Transmission spectrum acquisition platform of sugarcanes1: Probe; 2: Black sponge pad; 3: Halogen lamp;4: Sample fixing cylinder; 5: Sugarcane sample;6: Optical fiber; 7: Spectrometer; 8: Cable; 9. Laptop
    The sugarcane samples before and after wax removal and the sketch of transmittance measurement positions
    Spectral difference of sugarcane before and after wax removalCWR: Cane wax removed; OS: Original sample(a): Transmission spectra at different sampling positions of a sugarcane sample; (b): Correlation between transmittance spectra and sucrose
    Average spectral transmittance of samples at different angles(a): Original sample; (b): Cane wax removed
    Frequency of each wavelength selected by VCR-ACO algorithm
    Scatter plot of the model established by the wavelength selected by VRC-ACO algorithm(a): Calibration set; (b): Prediction set
    • Table 1. Statistical characteristics of sucrose content in sugarcane samples

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      Table 1. Statistical characteristics of sucrose content in sugarcane samples

      数据集样本
      数量
      最小值
      /%
      最大值
      /%
      平均值
      /%
      标准差
      校正集826.0713.7110.051.628 1
      预测集417.2313.179.991.472 8
    • Table 2. Spectral pretreatment results of sugarcane samples at 120°measurement angle

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      Table 2. Spectral pretreatment results of sugarcane samples at 120°measurement angle

      样本
      类别
      预处理校正集预测集
      RcRMSEC/%*RpRMSEP/%*
      原始
      样本
      无处理0.6501.230.7231.016
      SG0.6601.2170.7131.029
      FD0.7681.0360.7041.049
      MSC0.8040.9630.7790.943
      SNV0.8090.9520.7770.949
      SG+MSC0.8040.9620.7730.955
      SG+SNV0.8080.9540.7750.954
      去蜡
      样本
      无处理0.6341.2510.7490.967
      SG0.7031.1510.7600.950
      FD0.7841.0050.7900.899
      MSC0.8110.9470.7830.947
      SNV0.8210.9250.7910.933
      SG+MSC0.8110.9470.7800.957
      SG+SNV0.8170.9340.7870.943
    • Table 3. PLS modeling results obtained by different spectral measurement methods

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      Table 3. PLS modeling results obtained by different spectral measurement methods

      样本
      类别
      探测
      角度
      校正集预测集
      RcRMSEC/%*RpRMSEP/%*
      原始
      样本
      120°0.8090.9520.7770.949
      150°0.8100.9490.7521.010
      180°0.7920.9890.7650.967
      去蜡
      样本
      120°0.8210.9250.7910.933
      150°0.8180.9320.7750.981
      180°0.8160.9350.7720.971
    • Table 4. Results of selected wavelengths

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      Table 4. Results of selected wavelengths

      特征提
      取方法
      变量数特征波长/nm
      i-PLS19748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766
      GA16677, 697, 737, 738, 741, 763, 775, 779, 780, 788, 790, 794, 833, 922, 941, 946
      ACO15676, 703, 735, 747, 763, 768, 769, 771, 778, 786, 798, 792, 819, 821, 822
      VRC-ACO10737, 741, 760, 762, 763, 764, 765, 780, 930, 949
    • Table 5. Modeling results of selected wavelengths by different algorithms

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      Table 5. Modeling results of selected wavelengths by different algorithms

      特征提
      取方法
      变量数校正集预测集
      RcRMSEC/%*RpRMSEP/%*
      None2800.8210.9350.7910.933
      i-PLS190.7461.0820.7621.167
      GA160.8440.8690.8430.790
      ACO150.8480.8580.8400.798
      VRC-ACO100.8520.8490.8620.747
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    Xue-gang LÜ, Xiu-hua LI, Shi-min ZHANG, Mu-qing ZHANG, Hong-tao JIANG. A Method for Detecting Sucrose in Living Sugarcane With Visible-NIR Transmittance Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3747

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    Paper Information

    Category: Research Articles

    Received: Jun. 7, 2021

    Accepted: --

    Published Online: Dec. 17, 2021

    The Author Email: Xue-gang LÜ (lyuxg1997@qq.com)

    DOI:10.3964/j.issn.1000-0593(2021)12-3747-06

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