Spectroscopy and Spectral Analysis, Volume. 42, Issue 4, 1243(2022)

Nondestructive Testing and Grading of Milk Quality Based on Fourier Transform Mid-Infrared Spectroscopy

Shi-jie XIAO1,*... Qiao-hua WANG1,1; 2; *;, Chun-fang LI3,3; 4;, Chao DU3,3;, Zeng-po ZHOU4,4;, Sheng-chao LIANG4,4; and Shu-jun ZHANG3,3; *; |Show fewer author(s)
Author Affiliations
  • 11. College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
  • 33. Key Laboratory of Animal Breeding and Reproduction of Minstry of Education, Huazhong Agricultural University, Wuhan 430070, China
  • 44. Hebei Animal Husbandry Association, Shijiazhuang 050000, China
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    Figures & Tables(8)
    Mean spectra of special quality milk, high protein characteristic milk, high fat characteristic milk and ordinary milk
    Screening characteristic wavelengths by UVE
    (a) Number of sampling variables; (b) RMSECV; (c) Regression coefficient path
    Hierarchical model based on the second order difference-UVE-SCARS-RF
    • Table 1. Sample distribution statistics of each pasture

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      Table 1. Sample distribution statistics of each pasture

      牧场标记样本数量
      特优优质奶高蛋白
      特色奶
      高乳脂
      特色奶
      普通奶
      111818350119
      21025615192
      3144106338249
      4402211244
      5258132167143
      6187131130141
      763664162
      816914981147
      913922157176
      1012289165159
    • Table 2. Standard of classification

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      Table 2. Standard of classification

      牛奶
      标记
      级别脂肪/%蛋白质/%体细胞/
      (104个·mL-1)
      A特优优质奶≥4且≤9≥3.7且≤7≤20
      B高蛋白特色奶≥1.5且≤3.4≥3.7且≤7≤50
      C高乳脂特色奶≥4且≤9≥1且≤3.1≤50
      D普通奶3.142.83.4≤100
    • Table 3. Full spectrum prediction model using different pre-processing methods

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      Table 3. Full spectrum prediction model using different pre-processing methods

      模型预处理训练集准确率/%测试集准确率/%
      TotalABCDTotalABCD
      NB全光谱84.5087.7781.0985.8682.8584.2289.8082.6683.4680.70
      SNV90.7289.4794.5692.7186.7188.4687.0692.2089.6685.46
      MSC90.9789.8994.9392.2787.3588.9889.0592.2089.9285.21
      一阶导数90.6992.3488.6391.2790.2588.8594.0384.6889.1586.97
      二阶导数93.7695.7494.6893.2691.4392.0596.7793.0690.7087.72
      一阶差分90.3892.3487.6490.9490.2588.8593.7884.3989.4187.22
      二阶差分94.3196.2895.9293.5991.6492.1196.5294.5190.4487.22
      RF全光谱99.8610010099.5699.8995.8397.2696.5395.0994.49
      SNV99.8610010099.5699.8994.5297.0195.6695.0990.48
      MSC99.8610010099.5699.8994.3397.0195.6695.0989.72
      一阶导数99.8610010099.6799.7996.1598.0197.6996.1292.98
      二阶导数99.8610010099.5699.8996.4198.0197.6996.1293.99
      一阶差分99.8610010099.5699.8996.0998.0197.6995.8792.98
      二阶差分99.8610010099.5699.8996.8798.7697.6996.9094.24
    • Table 4. Prediction results by NB and RF models

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      Table 4. Prediction results by NB and RF models

      模型筛选方法变量数训练集准确率/%测试集准确率/%
      TotalABCDTotalABCD
      NB全光谱51494.3196.2895.9293.5991.6492.1196.5294.5190.4487.22
      UVE22994.1796.0695.9293.2691.6492.7097.7692.4990.9689.47
      CARS3793.7395.2195.4394.1490.3592.5096.7793.0692.2587.97
      SCARS2094.4595.9695.3094.9291.7593.9497.2693.9393.0291.48
      UVE-CARS3093.9595.1195.3093.5991.9693.4297.0193.3592.5190.73
      UVE-SCARS4794.6895.9695.9294.5992.3993.6197.2693.3593.2890.48
      RF全光谱51499.8610010099.5699.8996.8798.7697.6996.9094.24
      UVE22999.8610010099.5699.8996.7498.5197.6996.3894.49
      CARS3799.8610010099.5699.8995.7697.7695.9595.8793.48
      SCARS2099.8610010099.5699.8995.5798.5195.9594.8392.98
      UVE-CARS3099.8610010099.6799.7995.8397.2697.4096.1292.73
      UVE-SCARS4799.8610010099.5699.8996.4898.2697.4095.8794.49
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    Shi-jie XIAO, Qiao-hua WANG, Chun-fang LI, Chao DU, Zeng-po ZHOU, Sheng-chao LIANG, Shu-jun ZHANG. Nondestructive Testing and Grading of Milk Quality Based on Fourier Transform Mid-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1243

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    Paper Information

    Category: Research Articles

    Received: Apr. 8, 2021

    Accepted: --

    Published Online: Jul. 25, 2023

    The Author Email: XIAO Shi-jie (1175760869@qq.com)

    DOI:10.3964/j.issn.1000-0593(2022)04-1243-07

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