Title :

Sulfur compounds characterization using FT-ICR MS: Towards a better comprehension of vacuum gas oils hydrodesulfurization process

Author(s) :

Guillemant, Julie [Auteur]
IFP Energies nouvelles [IFPEN]
Berlioz-Barbier, Alexandra [Auteur]
IFP Energies nouvelles [IFPEN]
Chainet, Fabien [Auteur]
IFP Energies nouvelles [IFPEN]
de Oliveira, Luis Pereira [Auteur]
IFP Energies nouvelles [IFPEN]
Lacoue-Nègre, Marion [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 :

Fuel Processing Technology

Volume number :

210

Publication date :

2020

HAL domain(s) :

Planète et Univers [physics]/Sciences de la Terre

English abstract : [en]

Some aromatic sulfur compounds contained in vacuum gas oils are known to be very refractory to hydrotreatment. Thus, a better knowledge of these molecules would help to improve hydrodesulfurization efficiency by designing ...
Show more >Some aromatic sulfur compounds contained in vacuum gas oils are known to be very refractory to hydrotreatment. Thus, a better knowledge of these molecules would help to improve hydrodesulfurization efficiency by designing targeted catalysts or choosing adequate operating conditions for hydrotreatment process. The characterization of such compounds using advanced analytical techniques such as Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS) can give more information about the aromaticity and the number of carbon atoms of these refractory molecules. One vacuum gas oil feed and six hydrotreated samples obtained from pilot plant tests at several temperatures or using different catalysts have been analyzed using APPI(+)-FT-ICR MS. The differences of the aromaticity and number of carbon atoms among the several hydrotreated samples have been investigated to identify the effects of catalysts and temperatures over hydrotreatment process. Principal Component Analysis was used to explore the obtained data and put forward the variables explaining most of the variance between the hydrotreated samples.Show less >

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 :

2024-02-21T17:12:05Z
2024-02-23T11:04:09Z
2024-02-23T11:41:55Z