Objectif 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 the frequent and important case of out-of-equilibrium mixtures is much more limited. The DINAMIX project will tackle this challenge and provide detailed, molecular-level information on out-of-equilibrium mixtures. The proposed concept 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. While classic experiments require several minutes, spatial encoding (SPEN) in principle makes it possible to acquire data orders of magnitude faster, in less than a second. The PI has recently demonstrated that SPEN diffusion NMR is a general concept, with the potential to provide real-time information on out-of-equilibrium mixtures. These include a vast range of systems undergoing chemical change, as well as the important class of “hyperpolarised” solution mixtures generated by dissolution dynamic nuclear polarisation (D-DNP). D-DNP indeed provides dramatic NMR sensitivity enhancements of up to 4 orders of magnitude, which however last only for a short time in solution. In the DINAMIX project, we will develop i/ novel robust and accurate real-time diffusion NMR methods, ii/ advanced algorithms for data processing and analysis, iii/ protocols for sensitive component identification. We will exploit the resulting methodology for mechanistic investigations into catalytic organic and enzymatic reactions. The real-time diffusion NMR analysis of systems that are out-of-chemical equilibrium, far-from-spin-equilibrium or both will provide transformative insight on mixtures, with applications in chemical synthesis, supramolecular and polymer science, structural biology, and microstructural studies in materials and in vivo. Champ scientifique natural scienceschemical sciencespolymer sciencesnatural sciencescomputer and information sciencesdata sciencedata processingnatural sciencesbiological sciencesmolecular biologystructural biologynatural sciencesphysical sciencesopticsspectroscopy Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Thème(s) ERC-2018-STG - ERC Starting Grant Appel à propositions ERC-2018-STG Voir d’autres projets de cet appel Régime de financement ERC-STG - Starting Grant Institution d’accueil CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS Contribution nette de l'UE € 1 499 307,00 Adresse RUE MICHEL ANGE 3 75794 Paris France Voir sur la carte Région Ile-de-France Ile-de-France Paris Type d’activité Research Organisations Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 1 499 307,00 Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution nette de l'UE Tout développer Tout réduire CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS France Contribution nette de l'UE € 1 499 307,00 Adresse RUE MICHEL ANGE 3 75794 Paris Voir sur la carte Région Ile-de-France Ile-de-France Paris Type d’activité Research Organisations Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 1 499 307,00