Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0830001(2021)

Quantitative Analysis of Chlorophyll Content in Tea Leaves by Fluorescence Spectroscopy

Yande Liu*, Xiaodong Lin, Haigen Gao, Xue Gao, and Sun Wang
Author Affiliations
  • Institute of Optics Mechanics Electronics Technology and Application, East China Jiaotong University, Nanchang, Jiangxi 330013, China
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    Figures & Tables(14)
    Lossless, regular-shaped blade
    Capture schematic of chlorophyll fluorescence spectrum
    Original full spectrum image
    Fluorescence spectrum pretreatment and model comparison process
    Fluorescence spectra of fresh tea leaves after smoothing treatment
    Variable stability results of UVE method screening
    Results of variable selection using UVE method
    Results of variable selection using SPA algorithm. (a) Relationship between number of selected variables and RMSEP; (b) locations of selected variables in processed spectra
    Prediction results of simplified PLS model
    • Table 1. Statistics on chlorophyll content

      View table

      Table 1. Statistics on chlorophyll content

      SampleMaximumMinimumMeanSDCV
      Tea leaf87.0±0.361.6±0.378.935.090.06
    • Table 2. PLS values before and after chlorophyll relative content treatment

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      Table 2. PLS values before and after chlorophyll relative content treatment

      Evaluation indexBeforeAfter
      3 points5 points
      RC0.83390.91290.9162
      RMSEC2.23602.27760.2747
      RP0.88200.86750.8989
      RMSEP1.88111.91991.4831
    • Table 3. Descriptive statistics for calibration set and prediction set

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      Table 3. Descriptive statistics for calibration set and prediction set

      SubsetNumber of samplesMinimumMaximumMeanSD
      Calibration set8061.6±0.387.0±0.378.565.80
      Prediction set4070.9±0.385.8±0.379.663.16
    • Table 4. Descriptive statistics of calibration set and prediction set

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      Table 4. Descriptive statistics of calibration set and prediction set

      MethodNumber of variable pointsCalibration setPrediction set
      RCRMSERPRMSE
      PLS10440.90632.43590.93861.4871
      UVE-PLS1600.91742.22080.92241.4073
      SPA-PLS100.91762.28960.94501.3069
      BiPLS2800.90482.45450.93921.4861
      BiPLS-SPA140.96120.94830.95910.8863
    • Table 5. Results of selecting optimal intervals step by step

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      Table 5. Results of selecting optimal intervals step by step

      Numberintervalsin modelSelectedintervalNumberofvariablesRMSECVNumberintervalsin modelSelectedintervalNumberofvariablesRMSECV
      2064002.682510112002.3902
      1993802.4252951802.3643
      1843602.36168141602.3413
      17183402.3325731402.3402
      16193202.3269611202.4077
      15203002.3222521002.4248
      14172802.3212410802.3955
      13162602.3221313602.7288
      12152402.3333212402.7245
      1182202.368417202.4189
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    Yande Liu, Xiaodong Lin, Haigen Gao, Xue Gao, Sun Wang. Quantitative Analysis of Chlorophyll Content in Tea Leaves by Fluorescence Spectroscopy[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0830001

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    Paper Information

    Category: Spectroscopy

    Received: Jul. 30, 2020

    Accepted: Sep. 10, 2020

    Published Online: Apr. 22, 2021

    The Author Email: Liu Yande (jxliuyd@163.com)

    DOI:10.3788/LOP202158.0830001

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