Study on LC-MS fingerprint for quality assessment of Aristolochia manshuriensis with chemical pattern recognition
Fan, X.-L.; Ding, Y.-B.; Ji-Ye, A.; Zhao, X.; Liu, W.-Y.
Zhongguo Zhong Yao Za Zhi 33(24): 2928-2931
2008
ISSN/ISBN: 1001-5302 PMID: 19294853 Document Number: 620864
To analyze LC-MS fingerprints of Aristolochia manshuriensis for quality assessment with two different chemical pattern recognition models. LC-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. Two methods had good consistency, while they reflected the inherent sample information from different perspectives, respectively. Modern equipment analysis technology and multivariable chemical pattern recognition would be an efficient way for quality control and variety identification of A. manshuriensis.