• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 8, 2591 (2021)
Zong-bao SUN*, Jun-kui LI, Li-ming LIANG, Xiao-bo ZOU*;, Xiao-yu LIU, Zeng NIU, and Yun-long GAO
Author Affiliations
  • School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
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    DOI: 10.3964/j.issn.1000-0593(2021)08-2591-07 Cite this Article
    Zong-bao SUN, Jun-kui LI, Li-ming LIANG, Xiao-bo ZOU, Xiao-yu LIU, Zeng NIU, Yun-long GAO. Prediction and Distribution Visualization of Salmon Quality Based on Hyperspectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2591 Copy Citation Text show less
    Hyperspectral imaging system
    Fig. 1. Hyperspectral imaging system
    Changes in shear force and K values of chilled and frozen-thawed salmon
    Fig. 2. Changes in shear force and K values of chilled and frozen-thawed salmon
    Wavelength interval positions selected by iVISSA for a*(a), shear force (b) and K value (c)
    Fig. 3. Wavelength interval positions selected by iVISSA for a*(a), shear force (b) and K value (c)
    The best prediction results of a* (a), shear force (b) and K value (c) obtained by CARS-PLS model
    Fig. 4. The best prediction results of a* (a), shear force (b) and K value (c) obtained by CARS-PLS model
    The processes of CARS selecting characteristic variables related to a* (a), shear force (b) and K value (c)
    Fig. 5. The processes of CARS selecting characteristic variables related to a* (a), shear force (b) and K value (c)
    (A), (B), (C) are the visual distribution maps of a*, shear force, and K value, respectively, and (a), (b), (c), (d) represent group C, FT-1, FT-2, and FT-3
    Fig. 6. (A), (B), (C) are the visual distribution maps of a*, shear force, and K value, respectively, and (a), (b), (c), (d) represent group C, FT-1, FT-2, and FT-3
    样品组L*a*b*
    C53.66±2.72a16.96±0.96a17.64±0.65c
    FT-152.61±2.53a15.24±0.80b18.01±1.19bc
    FT-248.63±2.99b14.42±0.97c18.41±0.82b
    FT-348.10±2.13b12.09±0.48d18.92±0.65a
    Table 1. L*, a*, b* values of chilled and frozen-thawed salmon
    品质指标校正集预测集
    含量范围平均
    标准
    偏差
    含量范围平均
    标准
    偏差
    a*11.21~18.5214.941.9511.51~18.0314.161.84
    剪切力/N4.79~10.987.461.585.21~8.666.631.00
    K9.71~25.8916.664.4910.48~25.8816.864.03
    Table 2. Division results of calibration set and test set
    品质
    指标
    预处理
    方法
    RcRMSECVRpRMSEP
    a*Raw0.914 10.940.865 61.23
    1st Der0.926 90.720.913 51.00
    2nd Der0.789 81.350.755 91.42
    MSC0.846 61.270.792 61.31
    SNVT0.761 71.420.707 61.43
    N0.919 90.890.852 51.20
    MC0.899 71.140.882 51.18
    剪切力Raw0.862 60.69 N0.796 60.73 N
    1st Der0.851 60.73 N0.826 20.85 N
    2nd Der0.874 60.68 N0.842 10.82 N
    MSC0.703 21.12 N0.569 21.55 N
    SNVT0.767 41.02 N0.618 31.46 N
    N0.713 01.04 N0.676 11.23 N
    MC0.536 21.94 N0.478 92.02 N
    KRaw0.851 42.170.810 22.65
    1st Der0.853 82.020.840 72.38
    2nd Der0.859 31.940.774 22.83
    MSC0.860 41.930.831 22.45
    SNVT0.851 02.240.802 52.74
    N0.881 71.750.846 32.27
    MC0.852 62.130.823 12.54
    Table 3. Prediction results of a*, shear force and K value based on full spectrum variables
    品质指标模型变量数RcRMSECVRpRMSEP
    CARS-PLS510.931 60.720.929 70.74
    a*iVISSA-PLS2170.906 60.800.888 30.99
    iVISSA-CARS-PLS310.915 40.790.906 30.83
    CARS-PLS610.892 10.67 N0.887 30.80 N
    剪切力iVISSA-PLS4430.650 51.10 N0.644 41.22 N
    iVISSA-CARS-PLS380.885 30.69 N0.860 90.90 N
    CARS-PLS510.951 41.330.950 01.53
    KiVISSA-PLS3240.878 42.070.878 02.29
    iVISSA-CARS-PLS310.950 71.350.940 41.56
    Table 4. The model results of a*, shear force and K value prediction based on screened wavelength
    Zong-bao SUN, Jun-kui LI, Li-ming LIANG, Xiao-bo ZOU, Xiao-yu LIU, Zeng NIU, Yun-long GAO. Prediction and Distribution Visualization of Salmon Quality Based on Hyperspectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2591
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