Theoretical modeling and machine learning-based data processing workflows in comprehensive two-dimensional gas chromatography

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Theoretical modeling and machine learning-based data processing workflows in comprehensive two-dimensional gas chromatography—A review

Published:2023-11 Issue: Volume:1711 Page:464467
ISSN:0021-9673
Container-title:Journal of Chromatography A
language:en
Short-container-title:Journal of Chromatography A

Author:

Gaida Meriem,Stefanuto Pierre-Hugues,Focant Jean-François

Funder

Fonds De La Recherche Scientifique - FNRS

Fonds Wetenschappelijk Onderzoek

Fonds Léon Fredericq

Publisher

Elsevier BV

Subject

Organic Chemistry,General Medicine,Biochemistry,Analytical Chemistry

Reference129 articles.

1. History of gas chromatography;Bartle;TrAC Trends Anal. Chem.,2002

2. Marcel J.E. Golay

3. Gas chromatography;Eiceman;Anal. Chem.,2002

4. Recent applications of gas chromatography with high-resolution mass spectrometry;Špánik;J. Sep. Sci.,2018

5. Gas Chromatography;Poole,2021

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1. Generalized flow calculation of the gas flow in a network of capillaries used in gas chromatography;Journal of Separation Science;2024-08

2. Recent progress in the extraction of terpenoids from essential oils and separation of the enantiomers by GC–MS;Journal of Chromatography A;2024-08

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