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  • Title: [Study on LC-MS fingerprint for quality assessment of Aristolochia manshuriensis with chemical pattern recognition].
    Author: Fan XL, Ding YB, Ji-Ye A, Zhao X, Liu WY.
    Journal: Zhongguo Zhong Yao Za Zhi; 2008 Dec; 33(24):2928-31. PubMed ID: 19294853.
    Abstract:
    OBJECTIVE: To analyze LC-MS fingerprints of Aristolochia manshuriensis for quality assessment with two different chemical pattern recognition models. METHOD: 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. RESULT: Two methods had good consistency, while they reflected the inherent sample information from different perspectives, respectively. CONCLUSION: Modern equipment analysis technology and multivariable chemical pattern recognition would be an efficient way for quality control and variety identification of A. manshuriensis.
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