Modeling the GC×GC separation as individual subsystems under vacuum outlet conditions

Gaida, Meriem; Franchina, A. Flavio; Stefanuto, Pierre-Hugues; Focant, Jean-François

Request a copy

Unpublished conference/Abstract (Scientific congresses and symposiums)

Modeling the GC×GC separation as individual subsystems under vacuum outlet conditions

Gaida, Meriem; Franchina, A. Flavio; Stefanuto, Pierre-Hugues et al.

2022 • 13th Multidimensional Chromatography Virtual Workshop

Peer reviewed

Permalink
https://hdl.handle.net/2268/289764

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

13_mdcw_abstract_book.pdf

Author postprint (28.18 kB)

Request a copy

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

Retention time prediction, multidimensional gas chromatography, separation space; mass spectrometery

Disciplines :

Chemistry

Author, co-author :

Gaida, Meriem ; Université de Liège - ULiège > Molecular Systems (MolSys)

Franchina, A. Flavio; University of Ferrara, Italy > Department of Chemical, Pharmaceutical and Agricultural Sciences

Stefanuto, Pierre-Hugues ; Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique, organique et biologique

Focant, Jean-François ; Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique, organique et biologique

Language :

English

Title :

Modeling the GC×GC separation as individual subsystems under vacuum outlet conditions

Publication date :

01 February 2022

Number of pages :

Event name :

13th Multidimensional Chromatography Virtual Workshop

Event organizer :

Katelynn Perrault , Pierre-Hugues Stefanuto, Dwight Stoll

Event place :

Sart-tilman (Liège), Belgium

Event date :

31/01/2022-02/02/2022

Audience :

International

Peer reviewed :

Peer reviewed

Name of the research project :

“Chemical Information Mining in a Complex World”

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique
FWO - Fonds Wetenschappelijk Onderzoek Vlaanderen

Funding number :

EOS Grant; 30897864

Available on ORBi :

since 20 April 2022

Statistics

Number of views

47 (2 by ULiège)

Number of downloads

2 (1 by ULiège)

More statistics