文献类型：期刊文献

英文题名：2-D RP/RPLC method to separate components in Fructus schisandrae chinensis

作者：Jin, Gaowa[1,2];Dai, Yuntao[3];Feng, Jiatao[1];Qin, Xuemei[3];Xue, Xingya[1];Zhang, Feifang[1,4];Liang, Xinmiao[1,4]

机构：[1]E China Univ Sci & Technol, Dalian Inst Chem Phys, Chinese Acad Sci, Key Lab Separat Sci Analyt Chem, Dalian 116023, Liaoning, Peoples R China;[2]Chinese Acad Fishery Sci, E China Sea Fishery Res Inst, Shanghai, Peoples R China;[3]Shanxi Univ, Modern Res Ctr Tradit Chinese Med, Taiyuan, Peoples R China;[4]E China Univ Sci & Technol, Sch Pharm, Shanghai 200237, Peoples R China

年份：2010

卷号：33

期号：4-5

起止页码：564

外文期刊名：JOURNAL OF SEPARATION SCIENCE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000276573800014)】；

基金：This work was supported by "National Natural Science Funds for Distinguished Young Scholar (20825518)". The authors also appreciate the financial support from International Cooperation Plan from Ministry of Science and Technology of China (2007DFC30550), National Project of Scientific and Technical Supporting Programs Funded by Ministry of Science Technology of China (2006BAI06A01-06) and Science and Technology Project of Dalian (2007J23JH032).

语种：英文

外文关键词：beta-CD column; Fructus schisandrae chinensis; Traditional Chinese medicine; 2-D RP/RPLC

摘要：An off-line 2-D RP/RPLC method was developed to separate components in extracts of Fructus schisandrae chinensis, which is a traditional Chinese medicine. In this method, Click beta-CD stationary phase was proposed for constructing 2-D RP/RPLC system combined with C18 column. beta-CD column showed great potential to separate compounds in traditional Chinese medicines under RP mode. Collected fractions from Click beta-CD column used in first dimension were resolved into many additional components, indicating that the 2-D LC system based on Click beta-CD and C18 phases is orthogonal. The mobile phase was same on both columns. This 2-D LC method facilitates us not only to separate components that cannot be resolved by unidimensional chromatography, but also to achieve much more efficient detection of minor sample components.