Articles | Volume 3, issue 2
https://doi.org/10.5194/mr-3-183-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/mr-3-183-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Fine optimization of a dissolution dynamic nuclear polarization experimental setting for 13C NMR of metabolic samples
Arnab Dey
Nantes Université, CNRS, CEISAM UMR 6230, 44000 Nantes, France
Benoît Charrier
Nantes Université, CNRS, CEISAM UMR 6230, 44000 Nantes, France
Karine Lemaitre
Nantes Université, CNRS, CEISAM UMR 6230, 44000 Nantes, France
Victor Ribay
Nantes Université, CNRS, CEISAM UMR 6230, 44000 Nantes, France
Dmitry Eshchenko
Bruker Biospin, Industriestrasse 26, 8117 Fällanden, Switzerland
Marc Schnell
Bruker Biospin, Industriestrasse 26, 8117 Fällanden, Switzerland
Roberto Melzi
Bruker Biospin, Viale V. Lancetti 43, 20158 Milan, Italy
Quentin Stern
Université de Lyon, CNRS, Université Claude Bernard Lyon 1,
ENS de Lyon, Centre de RMN à Très Hauts Champs (CRMN), UMR5082,
69100 Villeurbanne, France
Samuel F. Cousin
Aix Marseille Univ., CNRS, ICR, 13397, Marseille, France
James G. Kempf
Bruker Biospin, 15 Fortune Dr., Billerica, MA 01821 USA
Sami Jannin
Université de Lyon, CNRS, Université Claude Bernard Lyon 1,
ENS de Lyon, Centre de RMN à Très Hauts Champs (CRMN), UMR5082,
69100 Villeurbanne, France
Jean-Nicolas Dumez
Nantes Université, CNRS, CEISAM UMR 6230, 44000 Nantes, France
Patrick Giraudeau
CORRESPONDING AUTHOR
Nantes Université, CNRS, CEISAM UMR 6230, 44000 Nantes, France
Data sets
Fine optimization of a dissolution-DNP experimental setting for 13C NMR of metabolic samples Arnab Dey, Benoît Charrier, Karine Lemaître, Victor Ribay, Dmitry Eshchenko, Marc Schnell, Roberto Melzi, Quentin Stern, Samuel F. Cousin, James G. Kempf, Sami Jannin, Jean-Nicolas Dumez, and Patrick Giraudeau https://doi.org/10.5281/zenodo.6810794
Short summary
Nuclear magnetic resonance (NMR) is a great tool for analytical chemistry, but it is not the most sensitive one. This work aims to develop a sensitive and repeatable workflow for the analysis of complex samples by hyperpolarized 13C NMR. Through systematic and careful optimization of experimental parameters, we were able to achieve unprecedented sensitivity for the analysis of naturally abundant metabolite mixtures while maintaining the precision required for metabolomic studies.
Nuclear magnetic resonance (NMR) is a great tool for analytical chemistry, but it is not the...