1.
China Journal of Chinese Materia Medica
; (24): 2928-2931, 2008.
Artigo
em Chinês
| WPRIM
| ID: wpr-324774
RESUMO
<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>