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题名: Computer-aided target optimization for traditional Chinese medicine by ultra-performance liquid chromatography
作者: Jin, Gaowa1;  Xue, Xingya1;  Zhang, Feifang1;  Jin, Yu2;  Liang, Xinmiao1, 2
通讯作者: 梁鑫淼
关键词: Target optimization ;  Computer-aided software ;  Moved overlapping separation ranging map ;  Traditional Chinese medicine ;  Ultra-performance liquid chromatography
刊名: TALANTA
发表日期: 2009-04-15
DOI: 10.1016/j.talanta.2008.11.009
卷: 78, 期:1, 页:278-283
收录类别: SCI
文章类型: Article
部门归属: 18
项目归属: 1803
产权排名: 1;1
WOS标题词: Science & Technology ;  Physical Sciences
类目[WOS]: Chemistry, Analytical
研究领域[WOS]: Chemistry
英文摘要: A new strategy of target optimization was developed for resolving the separation problems of complex samples. Computer-aided target optimization for separation of complex samples by ultra-performance liquid chromatography (UPLC) was studied. Taking traditional Chinese medicine (TCM) (Rhizoma Coptidis) as an example, separation conditions of target compounds - overlapping peaks and all components - were optimized based on moved overlapping separation ranging map(OSRM) and artificially intervention. After calculating retention parameters and peak shape parameters of the target peaks, the optimization was operated in an emulational picture through the computer without further experiments. The emulational chromatogram was proved to be authentic by the estimated values, which were almost identical to experimental results. The method was very helpful for obtaining the satisfied separation conditions of target compounds rapidly and efficiently. (c) 2008 Elsevier B.V. All rights reserved.
关键词[WOS]: RESTRICTED MULTIPARAMETER APPROACH ;  FLIGHT MASS-SPECTROMETRY ;  MOBILE-PHASE ;  SIMULATION ;  SEPARATION ;  DESIGN ;  UPLC ;  TIME
语种: 英语
原文出处: 查看原文
WOS记录号: WOS:000263634700043
Citation statistics: 
内容类型: 期刊论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/101601
Appears in Collections:中国科学院大连化学物理研究所_期刊论文

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作者单位: 1.Chinese Acad Sci, Dalian Inst Chem Phys, Dalian 116023, Peoples R China
2.E China Univ Sci & Technol, Sch Pharm, Shanghai 200237, Peoples R China

Recommended Citation:
Jin, Gaowa,Xue, Xingya,Zhang, Feifang,et al. Computer-aided target optimization for traditional Chinese medicine by ultra-performance liquid chromatography[J]. TALANTA,2009,78(1):278-283.
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