Study on LC-MS fingerprint for quality assessment of Aristolochia manshuriensis with chemical pattern recognition / 中国中药杂志
Xia-Lei FAN; Yi-Bing DING; A JI-YE; Xun ZHAO; Wen-Ying LIU.
China Journal of Chinese Materia Medica
; (24): 2928-2931, 2008.
Artículo
en Zh
| WPRIM | ID: wpr-324774
<p><b>OBJECTIVE</b>To analyze LC-MS fingerprints of Aristolochia manshuriensis for quality assessment with two different chemical pattern recognition models.</p><p><b>METHOD</b>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.</p><p><b>RESULT</b>Two methods had good consistency, while they reflected the inherent sample information from different perspectives, respectively.</p><p><b>CONCLUSION</b>Modern equipment analysis technology and multivariable chemical pattern recognition would be an efficient way for quality control and variety identification of A. manshuriensis.</p>
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