Study on LC-MS fingerprint for quality assessment of Aristolochia manshuriensis with chemical pattern recognition.
- Author:
Xia-Lei FAN
1
;
Yi-Bing DING
;
A JI-YE
;
Xun ZHAO
;
Wen-Ying LIU
Author Information
- Publication Type:Journal Article
- MeSH: Aristolochia; chemistry; classification; Chromatography, Liquid; Cluster Analysis; Drugs, Chinese Herbal; chemistry; Mass Spectrometry; Phylogeny; Quality Control
- From: China Journal of Chinese Materia Medica 2008;33(24):2928-2931
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo analyze LC-MS fingerprints of Aristolochia manshuriensis for quality assessment with two different chemical pattern recognition models.
METHODLC-MS fingerprints of A. manshuriensis were established from 24 batches of samples from different habitats. SIMCA and Clustering analysis were used to compare the parameters of the 29 common peaks.
RESULTTwo methods had good consistency, while they reflected the inherent sample information from different perspectives, respectively.
CONCLUSIONModern equipment analysis technology and multivariable chemical pattern recognition would be an efficient way for quality control and variety identification of A. manshuriensis.
