161
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

A comparative study using chemometric and numerical taxonomic approaches in the identification and classification of traditional Chinese medicines of the genus Clematis

, , &
Pages 288-297 | Received 11 May 2008, Accepted 05 Mar 2010, Published online: 04 Aug 2010
 

Abstract

A comparative study was performed to identify and classify traditional Chinese medicines (TCMs) of the genus Clematis by applying chemometric and numerical methodologies. In the analysis, 12 species representing major TCM plants of the genus and belonging to five different sections – Rectae, Clematis, Meclatis, Tubulosae and Viorna – were identified and demarcated on the basis of morphological and phytochemical characters. In the numerical study (NS), out of 53 selected characters, only 27 phylogenetically informative characters were used for data generation; a phenogram was produced with three distinctive clades. The extent of genetic distances ranged from 0.35 to 0.80. The phytochemical analysis (PA) was conducted using a high performance liquid chromatography coupled with a diode array detector (DAD) and ESI‐MS mode. The compound “Huzhangoside D” (HGD) was the most abundant in the analysed species of the genus. The PA of saponins produced a differential matrix based on the presence or absence of chemical characters, which generated a phenogram. The extent of genetic distances ranged from 0.05 to 0.35 in the phytochemical analysis, with three distinctive clades. Clematis intricata had compounds (HGB, HGD) with GD 0.30, and produced a different pattern of clustering than the previous classification system. The species C. henryi and C. heracleifolia appeared as sister clades having congruent genetic similarity with each other; this is an innovative combination. The classification results of PA and NS approaches corroborate each other, but the chemical fingerprinting method proved more authentic, quick and reliable for the identification and classification of these plant taxa.

Acknowledgements

The authors wish to thank the staff members of the Tian Mu Shan Biosphere Reserve, who helped in the collection of plant specimens. Special thanks to Professor J.H. Chen, who provided considerable help during the field trips and for the identification of specimens. Other members of the laboratory who helped, directly or indirectly, in this research are gratefully acknowledged.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 234.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.