Evaluation of Chinese medicinal herbs fingerprinting by HPLC-DAD for the detection of toxic aristolochic acids

James Heaton, Luke Whiley, Yingzi Hong, Chinnu Mary Sebastian, Norman William Smith, Cristina Legido-Quigley

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Aristolochic acids are known to contribute to various renal disorders; therefore, expanding the availability of analytical methodology to detect these compounds is important in order to assess the quality of Chinese herbal medicines in which they can be found. Twelve medicinal herbal samples were procured from various sources and extracted in duplicate prior to a "fingerprint" analysis using conventional HPLC-DAD. Multivariate analysis was performed on the entire chromatographed fingerprints. The resulting output was a partial least-square discriminant analysis model, which was able to evaluate the potential presence of aristolochic acids I and II as well as providing an individual herbal "fingerprint". The results of this study provide evidence that the presence of aristolochic acids contained within certain herbal extractions could be detected using a simple method, although some limitations apply to this method for quality control, since newly detected samples for aristolochic acid (positives) will need further confirmation with purity checks or MS hyphenation.
Original languageEnglish
Pages (from-to)1111 - 1115
Number of pages5
JournalJOURNAL OF SEPARATION SCIENCE
Volume34
Issue number10
DOIs
Publication statusPublished - May 2011

Fingerprint

Dive into the research topics of 'Evaluation of Chinese medicinal herbs fingerprinting by HPLC-DAD for the detection of toxic aristolochic acids'. Together they form a unique fingerprint.

Cite this