Issue 15, 2017
From the journal:

Analytical Methods

An easier analysis of complex mixtures with highly resolved and sensitivity enhanced 2D quantitative NMR: application to tracking sugar phosphates in plants†

Soumaya Khlifi,‡a   Caroline Mauve,bc   Nathalie Glab,bc   Francoise Gilard,bc   Michael Hodges,bc   Gregory Mouilled  and  Jonathan Farjon ORCID logo §*a  

* Corresponding authors

a Université Paris – Sud, équipe de RMN en milieu orienté, Institut de Chimie Moléculaire et des Matériaux d'Orsay (ICMMO), UMR CNRS 8182, Université Paris-Saclay, Rue du doyen Georges Poitou, bât. 410, 91405 Orsay Cedex, France
E-mail: jonathan.farjon@univ-nantes.fr

b Plateforme Métabolisme-Métabolome, Institute of Plant Sciences Paris Saclay IPS2, CNRS, INRA, Université Paris-Sud, Université Evry, Université Paris-Saclay, bât 630, 91405 Orsay, France

c Plateforme Métabolisme-Métabolome, Institute of Plant Sciences Paris-Saclay IPS2, Paris Diderot, Sorbonne Paris-Cité, bât 630, Orsay, France

d INRA, Institut Jean Pierre Bourgin, UMR 1318 INRA-AgroParisTech, ERL 3559 CNRS, 78026 Versailles, France

Abstract

The analysis of complex mixtures by NMR is a challenge in (bio)chemistry due to signal overcrowding making the analysis difficult. Thus, new advanced quantitative 2D NMR techniques that lead to better resolved and more intense signals have been applied to extracts of plants for tracking biomarkers of the photosynthesis and photorespiration cycles.

Graphical abstract: An easier analysis of complex mixtures with highly resolved and sensitivity enhanced 2D quantitative NMR: application to tracking sugar phosphates in plants

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Article information

DOI
https://doi.org/10.1039/C7AY00316A
Article type
Paper
Submitted
05 Feb 2017
Accepted
19 Mar 2017
First published
05 Apr 2017

Anal. Methods, 2017,9, 2328-2333

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An easier analysis of complex mixtures with highly resolved and sensitivity enhanced 2D quantitative NMR: application to tracking sugar phosphates in plants

S. Khlifi, C. Mauve, N. Glab, F. Gilard, M. Hodges, G. Mouille and J. Farjon, Anal. Methods, 2017, 9, 2328 DOI: 10.1039/C7AY00316A

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