Jean-Nicolas DUMEZ

Nuclear Magnetic Resonance (NMR) spectroscopy provides an unparalleled level of information, at the atomic scale, on systems ranging from molecules in solutions to living organisms. The scope of NMR, however, is limited by it poor sensitivity, as well as the time required to record information-rich multidimensional experiments. We work on the development of fast and sensitive NMR methods for solution-state studies of small molecules. In particular, we exploit and expand the concepts of ultrafast 2D NMR which yields multidimensional spectra in a single scan, as well as hyperpolarisation, which enhances NMR signals by several orders of magnitude. This research is based on fundamental aspects of spin dynamics, with the aim of developing novel approaches to characterise chemical systems and in particular complex mixtures of small molecules. Specific areas of application include metabolomics as well as the monitoring of chemical reactions, including online monitoring by flow NMR. 

Current group members:

• Achille Marchand, Ph.D. student, 2019 – 2022
• Aurélie Bernard, Engineer, from 2020
• Benjamin Lorandel, Ph.D. student, 2020 – 2023
• Célia Lhoste, Ph.D. student, 2020 – 2023, co-supervisor: Patrick Giraudeau
• Margherita Bazzoni, post-doc, 2020 – 2023
• Nour El Sabbagh, post-doc, 2022 – 2024
• Rituraj Mishra, post-doc, 2019 – 2023
• Yuliia Horbenko, Ph.D. student, 2022 – 2025

Ongoing grants:

• ERC Starting Grant "DINAMIX", 2019 – 2023; see webpage
• Connect Talent grant of the Region Pays de la Loire 2019 – 2023
• ANR "Digitalchem", 2022 – 2025, coordinated by François-Xavier Felpin
• Ressourcement scientifique NExT 2021 – 2023, coordinated by François-Xavier Felpin

2018 – present : CNRS associate scientist at the CEISAM – Nantes Université
2014 – 2018 : CNRS associate scientist at ICSN – Université Paris-Saclay
2013 – 2014 : Post-doctoral Fellow at the University of Southampton
2011 – 2013 : Post-doctoral Fellow at the Weizmann Institute of Science
2009 – 2011 : Ph.D. student at the CRMN – ENS de Lyon
2004 – 2008 : Elève at the ENS de Lyon

Full publication list http://orcid.org/0000-0002-5394-8001

Selected publications:

• J.-N. Dumez, NMR methods for the analysis of mixtures, Chem. Commun. 53, 13855 (2022). 
  https://doi.org/10.1039/D2CC05053F
• A. Marchand, R. Mishra, A. Bernard, and J.-N. Dumez, Online Reaction Monitoring with Fast and Flow-Compatible Diffusion NMR Spectroscopy, Chem. Eur. J. e202201175 (2022). 
  http://doi.org/10.1002/chem.202201175
• R. Mishra, A. Marchand, C. Jacquemmoz and J.-N. Dumez, Ultrafast diffusion-based unmixing of 1H NMR spectra, Chem. Commun. 57, 2384 (2021).
  https://doi.org/10.1039/D0CC07757G
• K. Singh, C. Jacquemmoz, P. Giraudeau, L. Frydman, and J.-N. Dumez, Ultrafast 2D ¹H–¹H NMR spectroscopy of DNP-hyperpolarised substrates for the analysis of mixtures, Chem. Commun. 57, 8035 (2021).
  https://doi.org/10.1039/d1cc03079e 
• C. Jacquemmoz, F. Giraud and J.-N. Dumez, Online reaction monitoring by single-scan 2D NMR under flow conditions, Analyst 145, 478 (2020).
  http://dx.doi.org/10.1039/C9AN01758E
• L. Guduff, P. Berthault, C. van Heijenoort, J.-N. Dumez and G. Huber, Single-Scan Diffusion-Ordered NMR Spectroscopy of SABRE-Hyperpolarised Mixtures, ChemPhysChem, 20, 392 (2019).
  https://doi.org/10.1002/cphc.201800983
• J.-N. Dumez, Spatial encoding and spatial selection methods in high-resolution NMR spectroscopy, Prog. Nucl. Magn. Reson. Spectrosc., 109, 101 (2018). 
  http://dx.doi.org/10.1016/j.pnmrs.2018.08.001
• L. Guduff, I. Kuprov, C. van Heijenoort and J.-N. Dumez, Spatially encoded 2D and 3D diffusion- ordered NMR spectroscopy, Chem. Commun., 53, 701 (2017). 
  http://dx.doi.org/10.1039/C6CC09028A
• L. Guduff, A.J. Allami, C. van Heijenoort, J.-N. Dumez and I. Kuprov, Efficient simulation of ultrafast magnetic resonance experiments, Phys. Chem. Chem. Phys. 19, 17577 (2017).
  https://doi.org/10.1039/C7CP03074F
• A. Le Guennec, P. Giraudeau, S. Caldarelli and J.-N. Dumez, Ultrafast double-quantum NMR spectroscopy, Chem. Commun. 51, 354 (2015).
  https://doi.org/10.1039/C4CC07232D