Shandong Science ›› 2019, Vol. 32 ›› Issue (6): 20-25.doi: 10.3976/j.issn.1002-4026.2019.06.004

• Traditional Chinese medicine and natural active products • Previous Articles     Next Articles

Simultaneous detection of water- and fat-soluble components of Danshen decoction slices of three origins using HPLC-DAD

ZHANG Min-min,ZHAO Zhi-guo, LIU Wei, CUI Li, WANG Dai-jie, WANG Xiao, ZHAO Heng-qiang*   

  1. Shandong Provincial Key Laboratory of TCM Quality Control Technology, Shandong Analysis and Test Center,Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
  • Received:2019-08-19 Online:2019-12-20 Published:2019-12-06

Abstract: This study determined the contents of water- and fat-soluble components of Danshen of different origins,and provided supporting data for the qualitative evaluation and rational utilization of Danshen decoction slices. We developed a method for the simultaneous determination of six water- and fat-soluble components of Danshen using HPLC-DAD . A method combined with cluster analysis was applied for differential comparison of Danshen decoction slice samples of three different origins: Shandong, Sichuan, and Yunnan. The results showed that this method could simultaneously, easily, and rapidly extract different polar components of Danshen decoction slices. There were some differences in the contents of water- and fat-soluble components in different batches of Danshen decoction slices. Among these, the content of each component in Danshen decoction slices from Sichuan was the highest, and the content of tanshinones from Shandong was better than that from Yunnan. The combination of active ingredient content and cluster analysis could achieve the conclusion of the production area.In summary, there are differences in the contents of components of Danshen decoction slices of different origins. This study provides methods and supporting data for the qualitative evaluation and rational utilization of Danshen decoction slices.

Key words: Danshen, multi-index quantification, cluster analysis, origin difference

CLC Number: 

  • R917