Rapid Detection of Anthocyanin in Mulberry Based on Raman Spectroscopy

Table 1. Statistics of the mulberry sample set
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Table 1. Statistics of the mulberry sample set
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 100.86 37.57 65.27 15.96 40
预测集 101.03 31.48 64.21 19.12 11

Table 2. PLSR modeling effects of different preprocessing methods

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Table 2. PLSR modeling effects of different preprocessing methods

预处理方法	建模集		预测集
预处理方法	$R_{c}^{2}$	RMSE_c	$R_{p}^{2}$	RMSE_p
无预处理	0.40	12.89	0.39	13.44
airPLS	0.82	6.77	0.70	15.91
MSC	0.46	12.03	0.41	13.98
Normalized	0.47	11.95	0.54	11.95
MSC+Normalized	0.47	11.35	0.46	12.14
airPLS+MSC	0.93	3.94	0.76	14.62
airPLS+Normalized	0.87	5.94	0.76	8.10
airPLS+MSC+Normalized	0.97	2.74	0.82	13.69

Table 3. Predicted results of PLSR and SVR model after CARS selection
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Table 3. Predicted results of PLSR and SVR model after CARS selection
Model 建模集预测集
$R_{c}^{2}$ RMSE_c $R_{p}^{2}$ RMSE_p
PLSR 0.97 2.49 0.91 5.23
SVR 0.98 1.93 0.94 4.70

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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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