|
|||||
|
|
An expeditious HPLC method to distinguish Aconitum kusnezoffii from related species |
|
| Authors: | Ying-yong Zhao Yongmin Zhang Rui-chao Lin Wen-ji Sun |
| Institution: | aBiomedicine Key Laboratory of Shaanxi Province, Northwest University, No.229 Taibai North Road, Xi'an 710069, China;bNational Institute for the Control of Pharmaceutical and Biological Products, Beijing 100050, China;cUniversité Pierre & Marie Curie-Paris 6, Institut Parisien de Chimie Moléculaire, UMR CNRS 7201, 4 place Jussieu, 75005 Paris, France |
| Abstract: | An optimized HPLC-DAD method aided by similarity and hierarchical clustering analysis (HCA) was applied for identification of four species of the roots of Aconitum. The unique properties of this HPLC fingerprints and HCA were validated by analyzing Aconitum kusnezoffii Rchb. (AKR) samples and related herbs including A. karacolicum Rapcs. (AKP) samples, A. austroyunnanense W.T.Wang (AAW) samples and A. contortum Finet & Gagnepain (ACF). The results revealed that the chromatographic fingerprint combining similarity measurement and hierarchical cluster analysis could efficiently identify and distinguish AKR samples from its related species. |
| Keywords: | RP-HPLC Aconitum kusnezoffii Rchb Fingerprint Hierarchical clustering analysis Traditional Chinese medicines |
| 本文献已被 ScienceDirect 等数据库收录！ | |