• Spectroscopy and Spectral Analysis
  • Vol. 40, Issue 12, 3878 (2020)
Ya-hui LI1、1、*, Yan-xiao LI1、1, Wei-long TAN1、1, Xiao-xia SUN1、1, Ji-yong SHI1、1, Xiao-bo ZOU1、1, Jun-jun ZHANG1、1, and Cai-ping JIANG1、1
Author Affiliations
  • 1[in Chinese]
  • 11. School of Food and Biological Engineering (Agricultural Product Processing and Storage Lab), Jiangsu University, Zhenjiang 212013, China
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    DOI: 10.3964/j.issn.1000-0593(2020)12-3878-06 Cite this Article
    Ya-hui LI, Yan-xiao LI, Wei-long TAN, Xiao-xia SUN, Ji-yong SHI, Xiao-bo ZOU, Jun-jun ZHANG, Cai-ping JIANG. Rapid Identification and Evaluation of Lycium Ruthenicum Murr. by Near-Infrared and Fourier Transform Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2020, 40(12): 3878 Copy Citation Text show less
    SNV spectra of Lycium Ruthenicum Murr. gathered by NIR (a) IR (b)
    Fig. 1. SNV spectra of Lycium Ruthenicum Murr. gathered by NIR (a) IR (b)
    Score cluster plot of Lycium Ruthenicum Murr. gathered by NIR (a) IR (b) and Discrimination rates of LS-SVM models (c) after data fusion
    Fig. 2. Score cluster plot of Lycium Ruthenicum Murr. gathered by NIR (a) IR (b) and Discrimination rates of LS-SVM models (c) after data fusion
    Calibration versus prediction by Si-PLS in calibration set (a) and External validation (b)
    Fig. 3. Calibration versus prediction by Si-PLS in calibration set (a) and External validation (b)
    样品数量最小值最大值平均值
    青海野生3523.6329.1525.08±1.34
    青海人工3518.5222.3320.74±0.72
    新疆优等3525.9536.2428.10±1.60
    新疆次等3511.4113.9412.81±0.59
    白刺351.902.342.13±0.10
    校正集1201.9036.2317.22±0.93
    预测集551.9029.2118.87±0.97
    Table 1. The Polysaccharide contents (%) of Lycium Ruthenicum Murr.
    光谱类型主成分数校正集/%预测集/%
    近红外5100.0096.36
    中红外8100.0097.50
    融合光谱9100.0099.17
    Table 2. Discrimination rates of LS-SVM models
    光谱类型联合子区
    间数/个
    主成分
    因子数
    区间范围相关系数
    (Rc)
    RMSECV
    /%
    25[3 5]0.935 33.23
    近红外38[3 5 8]0.945 62.97
    410[6 10 15 16]0.909 23.81
    210[5 6]0.946 73.11
    中红外310[4 10 17]0.956 02.85
    410[5 12 13 22]0.966 72.44
    210[10 13]0.946 73.11
    融合光谱310[5 6 13]0.963 82.51
    410[11 19 21 33]0.976 92.08
    Table 3. Discrimination rates of Si-PLS models
    Ya-hui LI, Yan-xiao LI, Wei-long TAN, Xiao-xia SUN, Ji-yong SHI, Xiao-bo ZOU, Jun-jun ZHANG, Cai-ping JIANG. Rapid Identification and Evaluation of Lycium Ruthenicum Murr. by Near-Infrared and Fourier Transform Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2020, 40(12): 3878
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