DICP OpenIR
Retention modeling and optimization of pH value and solvent composition in HPLC using back-propagation neural networks and uniform design
Shan, Y; Zhao, RH; Tian, Y; Liang, Z; Zhang, YK
Source PublicationJOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES
2002
Volume25Issue:7Pages:1033-1047
Indexed BySCI
SubtypeArticle
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
WOS SubjectBiochemical Research Methods ; Chemistry, Analytical
WOS Research AreaBiochemistry & Molecular Biology ; Chemistry
WOS KeywordPERFORMANCE LIQUID-CHROMATOGRAPHY ; MOBILE-PHASE PH ; COLUMN EFFICIENCY ; SEPARATION ; PREDICTION ; PURPOSES ; BEHAVIOR ; ACIDS
AbstractA novel method for the optimization of pH value and composition of mobile phase in HPLC using artificial neural networks and uniform design is proposed. As the first step. seven initial experiments were arranged and run according to uniform design. Then the retention behavior of the solutes is modeled using back-propagation neural networks. A trial method is used to ensure the predicting capability of neural networks. Finally, the optimal separation conditions can be found according to a global resolution function. The effectiveness of this method is validated by optimization of separation conditions for both basic and acidic samples.
Language英语
URL查看原文
WOS IDWOS:000175958400003
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/83267
Collection中国科学院大连化学物理研究所
AffiliationChinese Acad Sci, Dalian Inst Chem Phys, Natl Chromotog R&A Ctr, Dalian 116011, Peoples R China
Recommended Citation
GB/T 7714
Shan, Y,Zhao, RH,Tian, Y,et al. Retention modeling and optimization of pH value and solvent composition in HPLC using back-propagation neural networks and uniform design[J]. JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES,2002,25(7):1033-1047.
APA Shan, Y,Zhao, RH,Tian, Y,Liang, Z,&Zhang, YK.(2002).Retention modeling and optimization of pH value and solvent composition in HPLC using back-propagation neural networks and uniform design.JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES,25(7),1033-1047.
MLA Shan, Y,et al."Retention modeling and optimization of pH value and solvent composition in HPLC using back-propagation neural networks and uniform design".JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES 25.7(2002):1033-1047.
Files in This Item:
File Name/Size DocType Version Access License
2002DJYSOH5249.pdf(666KB) 开放获取--Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Shan, Y]'s Articles
[Zhao, RH]'s Articles
[Tian, Y]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shan, Y]'s Articles
[Zhao, RH]'s Articles
[Tian, Y]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shan, Y]'s Articles
[Zhao, RH]'s Articles
[Tian, Y]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.