Nondestructive Differentiation of Panax Species Using Visible and Shortwave Near-Infrared Spectroscopy |
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Authors: | Xiaojing Chen Di Wu Yong He Shou Liu |
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Affiliation: | (1) College of Biosystems Engineering and Food Science, Zhejiang University, 268 Kaixuan Road, Hangzhou, 310029, Zhejiang, People’s Republic of China;(2) Department of Physics, Xiamen University, Xiamen, 361005, China; |
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Abstract: | Visible and short-wave near-infrared (Vis-SWNIR) spectroscopy was investigated to differentiate species of panax, including
American Panax quinquefoliumI, Chinese Panax quinquefolium, and Chinese Panax ginseng. Principal component analysis (PCA) was applied before least-square support vector machine (LS-SVM) modeling, and the vast
points of the spectral data (376–1,025 nm) were effectively reduced. PCA-LS-SVM differentiated species with 100% correct classification
rate for the tested samples. In addition, effective wavelengths were selected according to modeling power, discrimination
power, regression coefficients, loading weights, and genetic algorithms, respectively. The optimal and simplified LS-SVM model
with 100% correct classification rate was achieved using the effective wavelengths selected by genetic algorithms. The results
showed that Vis-SWNIR spectroscopy technique can be applied as a high accuracy and fast way for the qualitative discrimination
of herb species. |
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