• Laser & Optoelectronics Progress
  • Vol. 58, Issue 8, 0830001 (2021)
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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    DOI: 10.3788/LOP202158.0830001 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Lossless, regular-shaped blade
    Fig. 1. Lossless, regular-shaped blade
    Capture schematic of chlorophyll fluorescence spectrum
    Fig. 2. Capture schematic of chlorophyll fluorescence spectrum
    Original full spectrum image
    Fig. 3. Original full spectrum image
    Fluorescence spectrum pretreatment and model comparison process
    Fig. 4. Fluorescence spectrum pretreatment and model comparison process
    Fluorescence spectra of fresh tea leaves after smoothing treatment
    Fig. 5. Fluorescence spectra of fresh tea leaves after smoothing treatment
    Variable stability results of UVE method screening
    Fig. 6. Variable stability results of UVE method screening
    Results of variable selection using UVE method
    Fig. 7. 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
    Fig. 8. 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
    Fig. 9. Prediction results of simplified PLS model
    SampleMaximumMinimumMeanSDCV
    Tea leaf87.0±0.361.6±0.378.935.090.06
    Table 1. Statistics on chlorophyll content
    Evaluation indexBeforeAfter
    3 points5 points
    RC0.83390.91290.9162
    RMSEC2.23602.27760.2747
    RP0.88200.86750.8989
    RMSEP1.88111.91991.4831
    Table 2. PLS values before and after chlorophyll relative content treatment
    SubsetNumber of samplesMinimumMaximumMeanSD
    Calibration set8061.6±0.387.0±0.378.565.80
    Prediction set4070.9±0.385.8±0.379.663.16
    Table 3. Descriptive statistics for 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 4. Descriptive statistics of calibration set and prediction set
    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
    Table 5. Results of selecting optimal intervals step by step
    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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