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Multivariate Classification of Geographical Origin of Herbal Medicines Using Terahertz Pulsed Absorption Spectroscopy
Abstract
Multivariate classification models of the geographical origin of herbal medicines are developed based on the terahertz time-domain absorption spectroscopy. Four methods of cluster analysis are considered: hierarchical cluster analysis, k-means, k-nearest neighbors and classification trees. For classification of five geographical locations of Gastrodia roots, 12 spectral variables have been selected in the frequency range of 0.1–0.6 THz in the order of decreasing their standard deviation in the explored set and transformed to a six–dimensional principal component space with the Mahalanobis metric. The classification of the considered herbal medicines by two closest neighbors in this space is characterized by accuracy and precision of 0.98, and sensitivity of 0.982.
About the Authors
P. S. Kolodochka
B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus
Belarus
Minsk
D. A. Korolko
B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus
Belarus
Minsk
P. A. Kulikovskaya
B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus
Belarus
Minsk
A. V. Lyakhnovich
B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus
Belarus
Minsk
X. Hongzhu
Anhui Huadong Photoelectric Technology Research Institute Co., Ltd.
China
China
Xi Hongzhu.
WuHu
X. Wei
Anhui Huadong Photoelectric Technology Research Institute Co., Ltd.
China
China
Xu Wei.
WuHu
M. A. Khodasevich
B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus
Belarus
Minsk
S. Jie
Anhui Huadong Photoelectric Technology Research Institute Co., Ltd.
China
China
Shu Jie.
WuHu
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Review
For citations:
Kolodochka P.S., Korolko D.A., Kulikovskaya P.A., Lyakhnovich A.V., Hongzhu X., Wei X., Khodasevich M.A., Jie S. Multivariate Classification of Geographical Origin of Herbal Medicines Using Terahertz Pulsed Absorption Spectroscopy. Zhurnal Prikladnoii Spektroskopii. 2025;92(4):513-523. (In Russ.)
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