Articles | Volume 3, issue 2
https://doi.org/10.5194/mr-3-183-2022
https://doi.org/10.5194/mr-3-183-2022
Research article
 | 
29 Sep 2022
Research article |  | 29 Sep 2022

Fine optimization of a dissolution dynamic nuclear polarization experimental setting for 13C NMR of metabolic samples

Arnab Dey, Benoît Charrier, Karine Lemaitre, Victor Ribay, Dmitry Eshchenko, Marc Schnell, Roberto Melzi, Quentin Stern, Samuel F. Cousin, James G. Kempf, Sami Jannin, Jean-Nicolas Dumez, and Patrick Giraudeau

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on mr-2022-14', Anonymous Referee #1, 20 Jul 2022
  • RC2: 'Comment on mr-2022-14', Benno Meier, 26 Jul 2022
    • EC1: 'Reply on RC2', Geoffrey Bodenhausen, 26 Jul 2022
    • EC2: 'Reply on RC2', Geoffrey Bodenhausen, 26 Jul 2022
  • AC1: 'Response to reviewers comments mr-2022-14', Patrick Giraudeau, 30 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Patrick Giraudeau on behalf of the Authors (13 Sep 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (16 Sep 2022) by Geoffrey Bodenhausen
AR by Patrick Giraudeau on behalf of the Authors (16 Sep 2022)  Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Patrick Giraudeau on behalf of the Authors (28 Sep 2022)   Author's adjustment   Manuscript
EA: Adjustments approved (29 Sep 2022) by Geoffrey Bodenhausen
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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.