Rapid Measurement of the Pharmacological Active Constituents in Herba Epimedii Using Hyperspectral Analysis Technology

Qing-hu JIANG; Feng LIU; Dong-yue YU; Hui LUO; Qiong LIANG; Yan-jun ZHANG

doi:10.3964/j.issn.1000-0593(2022)05-1445-06

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 5 >Page 1445 > Article

Spectroscopy and Spectral Analysis
Vol. 42, Issue 5, 1445 (2022)

Rapid Measurement of the Pharmacological Active Constituents in Herba Epimedii Using Hyperspectral Analysis Technology

Qing-hu JIANG^1、*, Feng LIU^1、1;, Dong-yue YU^{2、2; 3;}, Hui LUO^{2、2; 3;}, Qiong LIANG^{3、3; *;}, and Yan-jun ZHANG^{3、3; *;}

Author Affiliations

¹1. Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China

²2. University of Chinese Academy of Sciences, Beijing 100049, China

³3. Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China

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DOI: 10.3964/j.issn.1000-0593(2022)05-1445-06 Cite this Article

Qing-hu JIANG, Feng LIU, Dong-yue YU, Hui LUO, Qiong LIANG, Yan-jun ZHANG. Rapid Measurement of the Pharmacological Active Constituents in Herba Epimedii Using Hyperspectral Analysis Technology[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1445 Copy Citation Text

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Fig. 1. Spectral reflectance curves after pretreatment with (a) SG; (b) SG and FD;(c) SG, FD and SNV; (d) SG, FD, SNV and MC

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VIP scores (blue line) and b-coefficients (black line) associated with the cross-validation of PLSR model for Epimedin A (a), Epimedin B (b), Epimedin C (c) and Icariin (d) predictions using Vis-NIR spectroscopy

Fig. 2. VIP scores (blue line) and b-coefficients (black line) associated with the cross-validation of PLSR model for Epimedin A (a), Epimedin B (b), Epimedin C (c) and Icariin (d) predictions using Vis-NIR spectroscopy

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Fig. 3. The important wavelengths of GA-PLSR model for Epimedin A, Epimedin B, Epimedin C and Icariin predictions

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药用组分	最小值/ (mg·g^-1)	最大值/ (mg·g^-1)	中位数/ (mg·g^-1)	均值/ (mg·g^-1)	标准差/ (mg·g^-1)	变异系数/ %
Epimedin A	0.11	11.7	3.20	3.78	3.55	93.92
Epimedin B	0.02	19.97	2.81	5.01	5.55	110.78
Epimedin C	0.11	159.35	20.85	38.75	40.26	103.90
Icariin	0.09	7.74	2.41	2.28	2.04	89.47

Table 1. Summary statistics of epimedin A, epimedin B, epimedin C, and icariin contents

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药用组分	建模方法	波段数量	光谱预处理最佳方案	校正模型		交叉验证模型
药用组分	建模方法	波段数量	光谱预处理最佳方案	R²	RMSE	$R_{CV}^{2}$	RMSE_CV
Epimedin A	PLSR	2 151	SG+FD+SNV+MC	0.991	0.336	0.645	2.102
Epimedin A	GA-PLSR	456	SG+FD+SNV+MC	0.985	0.425	0.671	2.071
Epimedin B	PLSR	2 151	SG+FD+SNV+MC	0.999	0.090	0.720	2.896
Epimedin B	GA-PLSR	675	SG+FD+SNV+MC	0.995	0.381	0.835	2.230
Epimedin C	PLSR	2 151	SG+MC	0.801	17.684	0.718	21.069
Epimedin C	GA-PLSR	275	SG+MC	0.867	14.479	0.782	18.656
Icariin	PLSR	2 151	SG+FD+MC	0.893	0.656	0.642	1.221
Icariin	GA-PLSR	375	SG+FD+MC	0.980	0.284	0.796	0.912

Table 2. Model construction and cross-validation

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