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Quantification of Lipids: Model, Reality, and Compromise

Lipids are key molecules in various biological processes, thus their quantification is a crucial point in a lot of studies and should be taken into account in lipidomics development. This family is complex and presents a very large diversity of structures, so analyzing and quantifying all this diver...

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Detalles Bibliográficos
Autores principales: Khoury, Spiro, Canlet, Cécile, Lacroix, Marlène Z., Berdeaux, Olivier, Jouhet, Juliette, Bertrand-Michel, Justine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316828/
https://www.ncbi.nlm.nih.gov/pubmed/30558107
http://dx.doi.org/10.3390/biom8040174
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author Khoury, Spiro
Canlet, Cécile
Lacroix, Marlène Z.
Berdeaux, Olivier
Jouhet, Juliette
Bertrand-Michel, Justine
author_facet Khoury, Spiro
Canlet, Cécile
Lacroix, Marlène Z.
Berdeaux, Olivier
Jouhet, Juliette
Bertrand-Michel, Justine
author_sort Khoury, Spiro
collection PubMed
description Lipids are key molecules in various biological processes, thus their quantification is a crucial point in a lot of studies and should be taken into account in lipidomics development. This family is complex and presents a very large diversity of structures, so analyzing and quantifying all this diversity is a real challenge. In this review, the different techniques to analyze lipids will be presented: from nuclear magnetic resonance (NMR) to mass spectrometry (with and without chromatography) including universal detectors. First of all, the state of the art of quantification, with the definitions of terms and protocol standardization, will be presented with quantitative lipidomics in mind, and then technical considerations and limitations of analytical chemistry’s tools, such as NMR, mass spectrometry and universal detectors, will be discussed, particularly in terms of absolute quantification.
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spelling pubmed-63168282019-01-10 Quantification of Lipids: Model, Reality, and Compromise Khoury, Spiro Canlet, Cécile Lacroix, Marlène Z. Berdeaux, Olivier Jouhet, Juliette Bertrand-Michel, Justine Biomolecules Review Lipids are key molecules in various biological processes, thus their quantification is a crucial point in a lot of studies and should be taken into account in lipidomics development. This family is complex and presents a very large diversity of structures, so analyzing and quantifying all this diversity is a real challenge. In this review, the different techniques to analyze lipids will be presented: from nuclear magnetic resonance (NMR) to mass spectrometry (with and without chromatography) including universal detectors. First of all, the state of the art of quantification, with the definitions of terms and protocol standardization, will be presented with quantitative lipidomics in mind, and then technical considerations and limitations of analytical chemistry’s tools, such as NMR, mass spectrometry and universal detectors, will be discussed, particularly in terms of absolute quantification. MDPI 2018-12-14 /pmc/articles/PMC6316828/ /pubmed/30558107 http://dx.doi.org/10.3390/biom8040174 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Khoury, Spiro
Canlet, Cécile
Lacroix, Marlène Z.
Berdeaux, Olivier
Jouhet, Juliette
Bertrand-Michel, Justine
Quantification of Lipids: Model, Reality, and Compromise
title Quantification of Lipids: Model, Reality, and Compromise
title_full Quantification of Lipids: Model, Reality, and Compromise
title_fullStr Quantification of Lipids: Model, Reality, and Compromise
title_full_unstemmed Quantification of Lipids: Model, Reality, and Compromise
title_short Quantification of Lipids: Model, Reality, and Compromise
title_sort quantification of lipids: model, reality, and compromise
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316828/
https://www.ncbi.nlm.nih.gov/pubmed/30558107
http://dx.doi.org/10.3390/biom8040174
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