Spectroscopy and Spectral Analysis, Volume. 40, Issue 10, 3029(2020)

Fast Inspection of Saffron on the Spot Based on Cloud-Connected Portable Near-Infrared Technology

Qing LI1...1, Xiao-jian YAN1,1, Kui ZHAO1,1, Lan LI1,1, Shan-gui PENG1,1, Xiao LUO1,1, Yong-sheng WEN1,1, and Zhu-yun YAN11 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 11. Chengdu University of Traditional Chinese Medicine, The Ministry of Education Key Laboratory of Standardization of Chinese Herbal Medicine State, Key Laboratory Breeding Base of Systematic Research Development and Utilization of Chinese Medicine Recourses, Chengdu 611137, China
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    Figures & Tables(14)
    Photos of saffron and dyed adulterants
    Main work diagram of cloud connected PV500R-I portable near infrared spectrometer
    The raw spectra of saffron and its adulterants (a), saffron and its adulterated saffron (b)The a, b, c, d, e, f are saffron, carthami flos, corn silk, pulp, nelumbinis stamen, chrysanthemi flos, respectively (a, b, c, d, e, f in the following chart represent the same category)
    The PLS-DA model results of saffron and its adulterated saffron(a), (b), (c) are the two-dimensional score graph drawn by the principle components 1 and 2, 1 and 15, 1 and 4, respectively,(d) is the result of permutation test
    The PLS-DA model results of three kinds of adulterated saffron: Chrysanthemi flos, Carthami flos,Nelumbinis stamen(a) and (b) are the two-dimensional score graph drawn by the principle components 1 and 2, 1 and 4, respectively, (c) is the result of permutation test
    The PLS-DA model results of saffron and its adulterants(a), (b), (c), (d) are the two-dimensional score graph drawn by the principle components 1 and 2, 2 and 4, 1 and 7, 2 and 6, respectively,(e) is the result of permutation test
    Regression coefficient between the variables and performance of the optimal PLSR quantitative prediction model of five kinds of adulterated saffron under the condition of full band(a): Chrysanthemi flos; (b): nelumbinis; (c): Pulp; (d): Corn silk; (e): Under the condition of full band
    The external prediction results of the optimal PLSR quantitative prediction model for the adulterantsof carthami flos (a), chrysanthemi flos (b), nelumbinis stamen (c), pulp (d) and corn silk (e)
    • Table 1. PLS-DA model results of saffron and its adulterants, saffron and its adulterated saffron, three kinds of adulterated saffron developed using original data and datas obtained by five different data preprocessing under the condition of full-spectra. Bold characters represent the optimal model

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      Table 1. PLS-DA model results of saffron and its adulterants, saffron and its adulterated saffron, three kinds of adulterated saffron developed using original data and datas obtained by five different data preprocessing under the condition of full-spectra. Bold characters represent the optimal model

      模型数据LVR2XR2YQ2内部预测准确率/%外部预测准确率/%
      西红花与
      其伪品
      原始数据130.10.8410.733100100
      1阶导80.9990.7130.66798100
      2阶导60.9650.6500.58097100
      3阶导1010.6890.5879898
      MSC70.8780.6980.5789898
      SNV1210.7720.6539998
      西红花与
      其掺伪品
      原始数据1710.7390.5279189
      1阶导70.9890.4600.3688179
      2阶导60.8790.3830.2767070
      3阶导100.9360.4800.2847974
      MSC70.9950.3870.1917877
      SNV70.9910.3960.2597774
      三类西红花
      掺伪品
      原始数据510.6320.5549896
      1阶导80.4630.4590.3378076
      2阶导40.6320.6750.5399390
      3阶导60.8350.6900.5069390
      MSC50.654R2Y0.3336464
      SNV40.6330.8410.3366764
    • Table 1. The source and number information of saffron and its adulterants

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      Table 1. The source and number information of saffron and its adulterants

      样品名称来源数量
      西红花伊朗40
      西红花上海5
      西红花浙江建德5
      西红花安徽亳州5
      西红花河南永城5
      红花成都市荷花池中药材市场43
      菊花成都市荷花池中药材市场20
      莲须成都市荷花池中药材市场20
      玉米须农贸市场20
      纸浆自制20
    • Table 2. The best PLS-DA model results of saffron and its adulterants, saffron and its adulterated saffron, three kinds of adulterated saffron under the condition of full-spectra. Detailed results can be seen in table 1 of Supplementary Material

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      View in Article

      Table 2. The best PLS-DA model results of saffron and its adulterants, saffron and its adulterated saffron, three kinds of adulterated saffron under the condition of full-spectra. Detailed results can be seen in table 1 of Supplementary Material

      模型数据LVR2XR2YQ2内部预测准确率/%外部预测准确率/%
      西红花与其伪品原始数据1310.8410.733100100
      西红花与其掺伪品原始数据1710.7390.5279189
      三类西红花掺伪品原始数据510.6320.5549896
    • Table 2. The misclassfication table of best PLS-DA model results of saffron and its adulterants, saffron and its adulterated saffron, three kinds of adulterated saffron

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      Table 2. The misclassfication table of best PLS-DA model results of saffron and its adulterants, saffron and its adulterated saffron, three kinds of adulterated saffron

      最优模型MembersCorrectabcdefNo class
      西红花与
      伪品
      a2010020000000
      b91000900000
      c1410000140000
      d61000006000
      e61000000600
      f61000000060
      No class000000000
      西红花与
      掺伪品
      a1510015000000
      b158001200210
      c1510000150000
      d159300014010
      e15604100910
      f1510000000150
      No class000000000
      三类西红花
      掺伪品
      (菊花、红花
      和莲须)
      a/////////
      b15100/15//000
      c/////////
      d/////////
      e1593/1//1400
      f15100/0//0150
      No class00/0//000
    • Table 3. The PLSR quantitative prediction model results of five kinds of adulterated saffron, i.e. carthami flos, chrysanthemi flos, nelumbinis stamen, pulp, corn silk, were developed using original data and datas obtained by five different data preprocessing under the condition of full-spectra. Bold characters represent the optimal model

      View table
      View in Article

      Table 3. The PLSR quantitative prediction model results of five kinds of adulterated saffron, i.e. carthami flos, chrysanthemi flos, nelumbinis stamen, pulp, corn silk, were developed using original data and datas obtained by five different data preprocessing under the condition of full-spectra. Bold characters represent the optimal model

      伪品数据前处理LV校正集交叉验证集预测集
      RMSCER2RMSECVR2RMSEPR2
      红花原始数据30.0420.9260.0450.9190.0440.920
      1阶导20.0470.8980.0490.8680.0510.864
      2阶导60.0490.8750.0570.8120.05240.857
      3阶导20.0540.8490.0560.8210.0550.822
      MSC30.0520.8320.0570.8210.0530.832
      SNV30.0520.8310.0540.8280.0530.831
      菊花原始数据20.0130.9920.0190.9860.0130.992
      1阶导20.0130.9930.0150.9890.0130.993
      2阶导20.0130.9930.0170.9880.0140.991
      3阶导20.0150.9890.0210.9820.0190.983
      MSC60.0130.9920.0420.9280.0470.977
      SNV40.0170.9860.0400.9340.0400.924
      莲须原始数据30.0490.8900.0640.8340.0580.845
      1阶导20.0050.9990.0060.9980.0050.999
      2阶导20.0050.9990.0070.9980.0060.998
      3阶导20.0050.9990.0070.9980.0110.995
      MSC30.0620.8220.1260.3630.0640.811
      SNV40.0100.9950.0170.9890.0290.960
      玉米须原始数据30.1260.2670.1440.1580.1250.278
      1阶导20.0150.9900.0170.9880.0140.990
      2阶导20.0120.9930.0150.9910.0130.992
      3阶导20.0160.9880.0190.9840.0160.988
      MSC20.0400.9270.0790.7460.0580.842
      SNV50.0170.9860.0700.8010.0350.941
      纸浆原始数据50.0600.8310.1360.2580.0950.580
      1阶导30.0210.9790.0360.9480.0410.924
      2阶导30.0360.9370.0460.9160.0510.877
      3阶导40.0370.9370.0460.9160.0510.876
      MSC20.0730.7550.0790.7460.1030.505
      SNV30.0720.7580.0790.7480.1020.518
    • Table 3. The best PLSR quantitative prediction model results of five kinds of adulterated saffron, i.e. carthami flos, chrysanthemi flos, nelumbinis stamen, pulp, corn silk, under the condition of full-spectra. Detailed results can be seen in table 3 of Supplementary Material

      View table
      View in Article

      Table 3. The best PLSR quantitative prediction model results of five kinds of adulterated saffron, i.e. carthami flos, chrysanthemi flos, nelumbinis stamen, pulp, corn silk, under the condition of full-spectra. Detailed results can be seen in table 3 of Supplementary Material

      伪品数据前处理LV校正集交叉验证集预测集
      RMSCER2RMSECVR2RMSEPR2
      红花原始数据30.0420.9260.0450.9190.0440.920
      菊花2阶导20.0130.9930.0170.9890.0140.993
      莲须1阶导20.0050.9990.0060.9980.0050.999
      纸浆1阶导30.0210.9790.0360.9480.0410.924
      玉米须2阶导20.0120.9930.0150.9910.0130.992
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    Qing LI, Xiao-jian YAN, Kui ZHAO, Lan LI, Shan-gui PENG, Xiao LUO, Yong-sheng WEN, Zhu-yun YAN. Fast Inspection of Saffron on the Spot Based on Cloud-Connected Portable Near-Infrared Technology[J]. Spectroscopy and Spectral Analysis, 2020, 40(10): 3029

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    Paper Information

    Category: Research Articles

    Received: May. 11, 2020

    Accepted: --

    Published Online: Jun. 18, 2021

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2020)10-3029-09

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