ERC DINAMIX – Real-time diffusion NMR analysis of mixtures
DINAMIX is a project led by Jean-Nicolas Dumez aiming at developing NMR methods for the analysis of out-of-equilibrium mixtures. DINAMIX has been funded by a 1.5 M€ ERC Starting Grant (n° 801774, 2019-2024).
2019 - 2024
€ 1 499 337
person-months effort over the 5 years
internal team members
In order to describe, understand, and eventually control chemical reactions, scientists need to know what is happening in reaction mixtures.
Nuclear magnetic resonance (NMR) is the chemist’s most powerful tool to "see" which molecules are in a sample. However, the available options are typically a comprehensive picture on a completed reaction, and partial snapshots throughout the reaction. Using concepts derived from magnetic resonance imaging (MRI) and recent instrumentation, we are developing methods to provide a more complete picture of solution mixtures that evolve in time.
In more details
Chemical samples often come as solution mixtures. While advanced analytical methods exist for samples at equilibrium, the information on components and their interactions that may be accessed for out-of-equilibrium mixtures is much more limited. These include, for example, reaction mixtures in chemical synthesis and catalysis, as well as biochemical enzymatic reactions. The DINAMIX project aim at providing additional molecular-level information on out-of-equilibrium mixtures.
The project relies on diffusion nuclear magnetic resonance (NMR) spectroscopy, a powerful method that separates the spectra of mixtures’ components and identifies interactions, in correlation with structural insight provided by NMR observables. A spatial parallelisation is used to approach that makes it possible to acquire data in less than a second, instead of several minutes with conventional methods. This also has the potential to boost the power of hyperpolarisation methods such as dissolution dynamic nuclear polarisation (D-DNP) for mixtures analysis.
D-DNP indeed provides NMR sensitivity enhancements of up to 4 orders of magnitude, which however last only for a short time in solution. The methods developed will be used for applications in reaction monitoring in catalytic organic synthesis and biochemistry.
12.Fine optimization of a dissolution dynamic nuclear polarization experimental setting for 13C NMR of metabolic samples (link)
Auteurs: 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
11. Online Reaction Monitoring with Fast and Flow-Compatible Diffusion NMR Spectroscopy (link)
Achille Marchand, Rituraj Mishra, Aurélie Bernard, Jean-Nicolas Dumez
We describe a fast and flow-compatible diffusion NMR experiment and use it to monitor an organic chemical reaction.
10.Ultrafast 2D NMR for the analysis of complex mixtures (link)
Célia Lhoste, Benjamin Lorandel, Clément Praud, Achille Marchand, Rituraj Mishra, Arnab Dey, Aurélie Bernard, Jean-Nicolas Dumez, Patrick Giraudeau
9. Quadratic spacing of the effective gradient area for spatially encoded diffusion NMR (link)
Rituraj Mishra and Jean-Nicolas Dumez
We illustrate the mechanism of a frequency-swept pulse that achieves quadratic spacing of the effective gradient area in ultrafast DOSY NMR, and show that makes it possible to use fast processing methods.
8. Ultrafast 2D 1H-1H NMR spectroscopy of DNP-hyperpolarised substrates for the analysis of mixtures (link)
Kawarpal Singh, Corentin Jacquemmoz, Patrick Giraudeau, Lucio Frydman, Jean-Nicolas Dumez
We show that TOCSY and multiple-quantum (MQ) 2D NMR spectra can be obtained for mixtures of substrates hyperpolarised by dissolution dynamic nuclear polarisation (D-DNP).
7. Optimisation of spatially encoded diffusion ordered NMR spectroscopy for the analysis of mixtures (link)
Corentin Jacquemmoz, Rituraj Mishra, Ludmilla Guduff, Carine van Heijenoort, Jean-Nicolas Dumez
This article presents the unusual principles and implementation of the SPEN DOSY experiment, which is particularly useful for systems that evolve in time.
6. Ultrafast diffusion-based unmixing of 1H NMR spectra (link)
Rituraj Mishra, Achille Marchand, Corentin Jacquemmoz, and Jean-Nicolas Dumez
We show that the NMR spectra of components in a mixture can be separated using 2D data acquired in less than one second, and an algorithm that is executed in just a few seconds.
5. Online reaction monitoring by single-scan 2D NMR under flow conditions (link)
Corentin JACQUEMMOZ, François GIRAUD, Jean-Nicolas DUMEZ.
Here we show that time series of single-scan ultrafast 2D NMR (UF2DNMR) spectra can be collected to monitor solution mixtures that circulate in a flow unit at high field.
4. Hyperpolarized NMR Metabolomics at Natural 13C Abundance (link)
Arnab Dey, Benoît Charrier, Estelle Martineau, Catherine Deborde, Elodie Gandriau, Annick Moing, Daniel Jacob, Dmitry Eshchenko, Marc Schnell, Roberto Melzi,
Dennis Kurzbach, Morgan Ceillier, Quentin Chappuis, Samuel F. Cousin, James G. Kempf, Sami Jannin, Jean-Nicolas Dumez and Patrick Giraudeau
This article introduces a new approach, based on hyperpolarized 13C NMR at natural abundance, that circumvents the sensitivity drawback of 13C NMR for metabolomics.
3. Frequency-swept pulses for ultrafast spatially encoded NMR
This article describes the spatial encoding of relaxation, chemical shift and diffusion in a common framework and discusses directions for future developments.
2. Application and methodology of dissolution dynamic nuclear polarization in physical, chemical and biological contexts (link)
Sami Jannin, Jean-Nicolas Dumez, Patrick Giraudeau, Dennis Kurzbach
This perspectives article highlights possible avenues for developments and applications of d-DNP in biochemical and physicochemical studies.
1. Interleaved spatial/spectral encoding in ultrafast 2D NMR spectroscopy (link)
Bertrand Plainchont, Patrick Giraudeau, Jean-Nicolas Dumez
We analyze and further develop the strategy of using spatial/spectral pulses for spatial encoding, and introduce the concept of interleaving in excitation space, to address drawback of UF2DNMR.