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

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 com...

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Autores principales: Guillemant, Julie, Lacoue-Nègre, Marion, Berlioz-Barbier, Alexandra, Albrieux, Florian, de Oliveira, Luis P., Joly, Jean-François, Duponchel, Ludovic
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979777/
https://www.ncbi.nlm.nih.gov/pubmed/33742051
http://dx.doi.org/10.1038/s41598-021-85854-7
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author Guillemant, Julie
Lacoue-Nègre, Marion
Berlioz-Barbier, Alexandra
Albrieux, Florian
de Oliveira, Luis P.
Joly, Jean-François
Duponchel, Ludovic
author_facet Guillemant, Julie
Lacoue-Nègre, Marion
Berlioz-Barbier, Alexandra
Albrieux, Florian
de Oliveira, Luis P.
Joly, Jean-François
Duponchel, Ludovic
author_sort Guillemant, Julie
collection PubMed
description 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.
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spelling pubmed-79797772021-03-25 Towards a new pseudo-quantitative approach to evaluate the ionization response of nitrogen compounds in complex matrices Guillemant, Julie Lacoue-Nègre, Marion Berlioz-Barbier, Alexandra Albrieux, Florian de Oliveira, Luis P. Joly, Jean-François Duponchel, Ludovic Sci Rep Article 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. Nature Publishing Group UK 2021-03-19 /pmc/articles/PMC7979777/ /pubmed/33742051 http://dx.doi.org/10.1038/s41598-021-85854-7 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Guillemant, Julie
Lacoue-Nègre, Marion
Berlioz-Barbier, Alexandra
Albrieux, Florian
de Oliveira, Luis P.
Joly, Jean-François
Duponchel, Ludovic
Towards a new pseudo-quantitative approach to evaluate the ionization response of nitrogen compounds in complex matrices
title Towards a new pseudo-quantitative approach to evaluate the ionization response of nitrogen compounds in complex matrices
title_full Towards a new pseudo-quantitative approach to evaluate the ionization response of nitrogen compounds in complex matrices
title_fullStr Towards a new pseudo-quantitative approach to evaluate the ionization response of nitrogen compounds in complex matrices
title_full_unstemmed Towards a new pseudo-quantitative approach to evaluate the ionization response of nitrogen compounds in complex matrices
title_short Towards a new pseudo-quantitative approach to evaluate the ionization response of nitrogen compounds in complex matrices
title_sort towards a new pseudo-quantitative approach to evaluate the ionization response of nitrogen compounds in complex matrices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979777/
https://www.ncbi.nlm.nih.gov/pubmed/33742051
http://dx.doi.org/10.1038/s41598-021-85854-7
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