Article (Scientific journals)
Top-Down Approach to Retention Time Prediction in Comprehensive Two-Dimensional Gas Chromatography-Mass Spectrometry.
Gaida, Meriem; Franchina, Flavio; Stefanuto, Pierre-Hugues et al.
2022In Analytical Chemistry, 94 (49), p. 17081 - 17089
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Keywords :
Time; Gas Chromatography-Mass Spectrometry/methods; Analytes; Comprehensive two-dimensional gas chromatography; Gaschromatography-mass spectrometry; GC×GC; Modeling approach; Retention time; Retention time prediction; Space occupation; Time of flight mass spectrometry; Top down approaches; Analytical Chemistry
Abstract :
[en] In this contribution, we describe a novel modeling approach to predicting retention times (tr) in comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC × GC-ToF-MS) with a particular emphasis on the second-dimension (2D) retention time predictions (2tr). This approach is referred to as a "top-down" approach in that it breaks down the complete GC × GC separation into two independent one-dimensional gas chromatography separations (1D-GC). In this regard, both dimensions, that is, first dimension (1D) and second dimension (2D) are treated separately, and the cryogenic modulator is simply considered as a second consecutive injection device. Separate 1D-GC tr predictions are performed on both dimensions using the same flow rate as the one deployed in the conventional GC × GC system. The separate tr predictions are then combined to account for the two-dimensional separation. This model was applied to 24 analytes from 2 standard mixtures (Grob Test Mix and Fragrance Materials Test Mix) and assessed across 9 GC × GC chromatographic conditions. The experimental and predicted chromatographic retention space occupations were assessed by using the convex hull approach defined by the Delaunay triangulation. The predicted percentage of space occupation corresponded favorably with the experimental values. Furthermore, the top-down approach enabled an accurate prediction of the 2tr of all investigated analytes, providing an average 2tr modeling error of 0.26 ± 0.01 s.
Disciplines :
Chemistry
Author, co-author :
Gaida, Meriem  ;  Université de Liège - ULiège > Molecular Systems (MolSys)
Franchina, Flavio ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique, organique et biologique ; Department of Chemistry, Pharmaceutical, and Agricultural Sciences, University of Ferrara, via L. Borsari 46, 44121Ferrara, Italy
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 :
Top-Down Approach to Retention Time Prediction in Comprehensive Two-Dimensional Gas Chromatography-Mass Spectrometry.
Publication date :
13 December 2022
Journal title :
Analytical Chemistry
ISSN :
0003-2700
eISSN :
1520-6882
Publisher :
American Chemical Society, United States
Volume :
94
Issue :
49
Pages :
17081 - 17089
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
FWO - Fonds Wetenschappelijk Onderzoek Vlaanderen [BE]
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Funding text :
This research was funded by the FWO/FNRS Belgium EOS Grant 30897864 “Chemical Information Mining in a Complex World”.
Available on ORBi :
since 13 February 2023

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