Marchand Jérémy, Martineau Estelle, Guitton Yann, Dervilly-Pinel Gaud, Giraudeau Patrick
CEISAM, UMR6230, Université de Nantes, BP 92208, 2 rue de la Houssinière, 44322 Nantes, France; LUNAM Université, Oniris, Laboratoire d'Etude des Résidus et Contaminants dans les Aliments (LABERCA), 44307 Nantes, France.
CEISAM, UMR6230, Université de Nantes, BP 92208, 2 rue de la Houssinière, 44322 Nantes, France; Spectromaîtrise, CAPACITÉS SAS, 26 Bd Vincent Gâche, 44200 Nantes, France.
Curr Opin Biotechnol. 2017 Feb;43:49-55. doi: 10.1016/j.copbio.2016.08.004. Epub 2016 Sep 14.
Multi-dimensional NMR is an appealing approach for dealing with the challenging complexity of biological samples in metabolomics. This article describes how spectroscopists have recently challenged their imagination in order to make 2D NMR a powerful tool for quantitative metabolomics, based on innovative pulse sequences combined with meticulous analytical chemistry approaches. Clever time-saving strategies have also been explored to make 2D NMR a high-throughput tool for metabolomics, relying on alternative data acquisition schemes such as ultrafast NMR. Currently, much work is aimed at drastically boosting the NMR sensitivity thanks to hyperpolarisation techniques, which have been used in combination with fast acquisition methods and could greatly expand the application potential of NMR metabolomics.
多维核磁共振是处理代谢组学中生物样品复杂难题的一种有吸引力的方法。本文描述了光谱学家最近如何发挥想象力，通过将创新脉冲序列与精细的分析化学方法相结合，使二维核磁共振成为定量代谢组学的强大工具。还探索了巧妙的省时策略，依靠诸如超快核磁共振等替代数据采集方案，使二维核磁共振成为代谢组学的高通量工具。目前，许多工作致力于借助超极化技术大幅提高核磁共振的灵敏度，该技术已与快速采集方法结合使用，有望极大地拓展核磁共振代谢组学的应用潜力。
