Title :

Towards a new pseudo-quantitative approach to evaluate the ionization response of nitrogen compounds in complex matrices

Author(s) :

Guillemant, Julie [Auteur]
IFP Energies nouvelles [IFPEN]
Lacoue-Nègre, Marion [Auteur]
IFP Energies nouvelles [IFPEN]
Berlioz-Barbier, Alexandra [Auteur]
IFP Energies nouvelles [IFPEN]
Albrieux, Florian [Auteur]
IFP Energies nouvelles [IFPEN]
de Oliveira, Luis Pereira [Auteur]
IFP Energies nouvelles [IFPEN]
Joly, Jean-François [Auteur]
IFP Energies nouvelles [IFPEN]
Duponchel, Ludovic [Auteur]
Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516

Journal title :

Scientific Reports

Volume number :

11

Publication date :

2021

English keyword(s) :

Ionization
Nitrogen
Petroleum

HAL domain(s) :

Chimie

English abstract : [en]

Ultra high-resolution mass spectrometry (FT-ICR MS) coupled to electrospray ionization (ESI) provides unprecedented molecular characterization of complex matrices such as petroleum products. However, ESI faces major ...
Show more >Ultra high-resolution mass spectrometry (FT-ICR MS) coupled to electrospray ionization (ESI) provides unprecedented molecular characterization of complex matrices such as petroleum products. However, ESI faces major ionization competition phenomena that prevent the absolute quantification of the compounds of interest. On the other hand, comprehensive two-dimensional gas chromatography (GC × GC) coupled to specific detectors (HRMS or NCD) is able to quantify the main families identified in these complex matrices. In this paper, this innovative dual approach has been used to evaluate the ionization response of nitrogen compounds in gas oils as a case study. To this extent, a large gas oil dataset has been analyzed by GC × GC/HRMS, GC × GC-NCD and ESI(+/−)-FT-ICR MS. Then, the concentrations obtained from GC × GC-NCD have been compared to those obtained from FT-ICR MS hence proving that strong ionization competitions are taking place and also depending on the origin of the sample. Finally, multilinear regressions (MLR) have been used to quantitatively predict nitrogen families from FT-ICR MS measurements as well as start rationalizing the ionization competition phenomena taking place between them in different types of gas oils.Show less >

Language :

Anglais

Audience :

Non spécifiée

Popular science :

Non

Administrative institution(s) :

ENSCL
CNRS
Université de Lille

Collections :

• Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516

Research team(s) :

Propriétés magnéto structurales des matériaux (PMSM)

Submission date :

2024-02-21T17:12:04Z
2024-02-27T08:49:19Z
2024-02-27T08:50:35Z