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Unpublished conference/Abstract (Scientific congresses and symposiums)
Use of Partial Least Squares regression to predict the retention of drugs in gradient mode supercritical fluid chromatography.
Andri, Bertyl
;
Al Bakain, Ramia
;
Dispas, Amandine
et al.
2017
•
Chimiométrie XVIII - 2017
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https://hdl.handle.net/2268/206413
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Abstractx chimio 2017 BA.doc
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Keywords :
PLS regression; Chromatographic behaviour; Ionic LSER descriptors; Design of Experiments
Research Center/Unit :
CIRM - Centre Interdisciplinaire de Recherche sur le Médicament - ULiège
Disciplines :
Chemistry
Author, co-author :
Andri, Bertyl
;
Université de Liège > Département de pharmacie > Chimie analytique
Al Bakain, Ramia;
University of Jordan > Department of Chemistry
Dispas, Amandine
;
Université de Liège > Département de pharmacie > Chimie analytique
Marini Djang'Eing'A, Roland
;
Université de Liège > Département de pharmacie > Chimie analytique
Hubert, Philippe
;
Université de Liège > Département de pharmacie > Chimie analytique
Sassiat, Patrick;
ESPCI - Paris > CBI > LSABM - CNRS - UMR 8231
Thiébaut, Didier;
ESPCI - Paris > CBI > LSABM - CNRS - UMR 8231
Vial, Jérôme;
ESPCI - Paris > CBI > LSABM - CNRS - UMR 8231
Language :
English
Title :
Use of Partial Least Squares regression to predict the retention of drugs in gradient mode supercritical fluid chromatography.
Publication date :
01 February 2017
Event name :
Chimiométrie XVIII - 2017
Event place :
Paris, France
Event date :
30 janvier 2017 au 1 février 2017
Audience :
International
Name of the research project :
In-SCrit n°1217860
Funders :
DGTRE - Région wallonne. Direction générale des Technologies, de la Recherche et de l'Énergie
Available on ORBi :
since 30 January 2017
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