• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 12, 3771 (2021)
Hui-jie ZHANG*, Chong CAI*;, Xu-hong CUI, and Lei-lei ZHANG
Author Affiliations
  • College of Life Science, China Jiliang University, Hangzhou 310018, China
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    DOI: 10.3964/j.issn.1000-0593(2021)12-3771-05 Cite this Article
    Hui-jie ZHANG, Chong CAI, Xu-hong CUI, Lei-lei ZHANG. Rapid Detection of Anthocyanin in Mulberry Based on Raman Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3771 Copy Citation Text show less
    Raman spectra of three anthocyanin standard solutions
    Fig. 1. Raman spectra of three anthocyanin standard solutions
    Original Raman spectra of mixed standard solution and mulberr
    Fig. 2. Original Raman spectra of mixed standard solution and mulberr
    (a) Relationship between RMSECV and sampling times;(b) Extracted characteristic wavelength distribution
    Fig. 3. (a) Relationship between RMSECV and sampling times;(b) Extracted characteristic wavelength distribution
    (a)PLSR model; (b)SVR model
    Fig. 4. (a)PLSR model; (b)SVR model
    最大值/
    (mg·L-1)
    最小值/
    (mg·L-1)
    平均值/
    (mg·L-1)
    标准差个数
    建模集100.8637.5765.2715.9640
    预测集101.0331.4864.2119.1211
    Table 1. Statistics of the mulberry sample set
    预处理方法建模集预测集
    Rc2RMSEcRp2RMSEp
    无预处理0.4012.890.3913.44
    airPLS0.826.770.7015.91
    MSC0.4612.030.4113.98
    Normalized0.4711.950.5411.95
    MSC+Normalized0.4711.350.4612.14
    airPLS+MSC0.933.940.7614.62
    airPLS+Normalized0.875.940.768.10
    airPLS+MSC+Normalized0.972.740.8213.69
    Table 2. PLSR modeling effects of different preprocessing methods
    Model建模集预测集
    Rc2RMSEcRp2RMSEp
    PLSR0.972.490.915.23
    SVR0.981.930.944.70
    Table 3. Predicted results of PLSR and SVR model after CARS selection
    Hui-jie ZHANG, Chong CAI, Xu-hong CUI, Lei-lei ZHANG. Rapid Detection of Anthocyanin in Mulberry Based on Raman Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3771
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