• Spectroscopy and Spectral Analysis
  • Vol. 40, Issue 10, 3224 (2020)
Zong-bao SUN*, Tian-zhen WANG, Xiao-yu LIU, Xiao-bo ZOU, Li-ming LIANG, Jun-kui LI, 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(2020)10-3224-06 Cite this Article
    Zong-bao SUN, Tian-zhen WANG, Xiao-yu LIU, Xiao-bo ZOU, Li-ming LIANG, Jun-kui LI, Zeng NIU, Yun-long GAO. Detection of Prepared Steaks Freshness Using Hyperspectral Technology Combined With Wavelengths Selection Methods Combination Strategy[J]. Spectroscopy and Spectral Analysis, 2020, 40(10): 3224 Copy Citation Text show less
    Hyperspectral imaging system1: Stepper motor; 2: CCD camera; 3: Light source system; 4: Optical fiber halogen lamp; 5: Computer; 6: Three-axis precision electronically controlled traslation stage; 7: Object stage; 8: Sampe
    Fig. 1. Hyperspectral imaging system
    1: Stepper motor; 2: CCD camera; 3: Light source system; 4: Optical fiber halogen lamp; 5: Computer; 6: Three-axis precision electronically controlled traslation stage; 7: Object stage; 8: Sampe
    Results of TVB-N content in prepared steaks at different storage times
    Fig. 2. Results of TVB-N content in prepared steaks at different storage times
    Raw (a) and average spectra (b) of prepared steaks at different storage times
    Fig. 3. Raw (a) and average spectra (b) of prepared steaks at different storage times
    Process of selecting characteristic wavelengths by CARS
    Fig. 4. Process of selecting characteristic wavelengths by CARS
    Changes in RMSECV with the number of EDF runs
    Fig. 5. Changes in RMSECV with the number of EDF runs
    Frequency of selected wavelengths by CAPS (a) and VCPA (b) in repeated runs
    Fig. 6. Frequency of selected wavelengths by CAPS (a) and VCPA (b) in repeated runs
    Wavelengths selected by iRF
    Fig. 7. Wavelengths selected by iRF
    预处理方法RCRMSECVRPRMSEP
    1st Der0.9191.450.9071.52
    2nd Der0.9011.290.8821.43
    MC0.9071.440.9051.49
    MSC0.8981.500.8781.69
    SG0.9111.440.8961.46
    SNVT0.9011.480.8961.63
    Table 1. Predictive results of TVB-N content [mg·(100 g)-1] based on different pre-processing methods
    特征波长
    选择方法
    波长数量RCRMSECVRPRMSEP
    CARS210.9321.240.9271.29
    VCPA110.9441.120.9311.28
    iRF3290.9361.210.9251.40
    iRF-CARS240.9660.910.9381.22
    iRF-VCPA70.9431.150.9321.23
    Table 2. Predictive results of TVB-N content [mg·(100 g)-1] based on different wavelength selection methods
    Zong-bao SUN, Tian-zhen WANG, Xiao-yu LIU, Xiao-bo ZOU, Li-ming LIANG, Jun-kui LI, Zeng NIU, Yun-long GAO. Detection of Prepared Steaks Freshness Using Hyperspectral Technology Combined With Wavelengths Selection Methods Combination Strategy[J]. Spectroscopy and Spectral Analysis, 2020, 40(10): 3224
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