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American Journal of Pharmacy and Pharmacology

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Discrimination of Radix Angelica sinensis from Different Producing Areas by Using Electronic Tongue and UPLC Methods

American Journal of Pharmacy and Pharmacology
Vol.5 , No. 2, Publication Date: May 16, 2018, Page: 6-12

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Authors

[1]	Jiaji Ding, College of Medicine, Southwest Jiaotong University, Chengdu, China.
[2]	Yulin Lin, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
[3]	Lin Li, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
[4]	Bashir Ahmad, Centre for Biotechnology & Microbiology, University of Peshawar, Peshawar, Pakistan.
[5]	Sihao Zheng, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
[6]	Linfang Huang, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Abstract

Angelica sinensis is a famous medicinal plant and dietary supplement, whose quality is different in different producing areas. However, limited research focused on the discrimination of producing areas for Radix Angelica sinensis (DG) based on electrochemical techniques. In this study, an array of seven taste sensors were employed to detect the DG from Gansu, Yunnan, Sichuan and Hubei province in China. The Ultra Performance Liquid Chromatography (UPLC) technology was used to determine the main chemical composition content and verify the analysis of electronic tongue. The results demonstrated that electronic tongue could discriminate the DG samples from different producing areas, and the UPLC determination verified the analysis of electronic tongue. This work was conducive to clarify the diversity and geoherbalism of herb drugs, which laid foundation for better and rational utilization of traditional Chinese medicine.

Keywords

Electronic Tongue, Chemometrics, Angelica sinensis, Sensory Evaluation, PCA

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