Article (Scientific journals)
Development of response models for optimising HPLC methods
Dewé, Walthère; Marini Djang'Eing'A, Roland; Chiap, Patrice et al.
2004In Chemometrics and Intelligent Laboratory Systems, 74 (2), p. 263-268
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Keywords :
liquid chromatography; retention time; optimization; modeling; multi-criteria decision
Abstract :
[en] For optimizing a liquid chromatographic method, direct modeling some responses like minimum resolution is sometimes difficult to perform. By modeling the retention time at apex and the times associated to 13.4% of the peak height, it is possible to obtain estimations of these responses using an adequate cascade of equations, these equations being the definitions of these responses. As a multi-criteria decision has to be taken in most of these optimizations, a Derringer's function can be defined for each response of interest and a overall desirability, on which the final is taken, can be derived. In addition, the chromatogram in any experimental point can be predicted. (C) 2004 Elsevier B.V. All rights reserved.
Disciplines :
Pharmacy, pharmacology & toxicology
Author, co-author :
Dewé, Walthère ;  Université de Liège - ULiège > Analyse des médicaments
Marini Djang'Eing'A, Roland ;  Université de Liège - ULiège > Département de pharmacie > Chimie analytique
Chiap, Patrice ;  Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments
Hubert, Philippe  ;  Université de Liège - ULiège > Chimie analytique
Crommen, Jacques ;  Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments
Boulanger, Bruno ;  Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments
Language :
English
Title :
Development of response models for optimising HPLC methods
Publication date :
28 December 2004
Journal title :
Chemometrics and Intelligent Laboratory Systems
ISSN :
0169-7439
eISSN :
1873-3239
Publisher :
Elsevier Science Bv, Amsterdam, Netherlands
Volume :
74
Issue :
2
Pages :
263-268
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 07 April 2010

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