dissolution-dynamic-nuclear-polarization-instrumentation-for-real

Dissolution Dynamic Nuclear Polarization Instrumentation for Real-time Enzymatic Reaction Rate Measurements by NMR

The main limitation of NMR-based investigations is low sensitivity. This prompts for long acquisition times, thus preventing real-time NMR measurements of ...

Université Paris Descartes

The most versatile method to increase liquid-state (13)C NMR sensitivity is dissolution dynamic nuclear polarization. The use of trityl radicals is usually required to obtain very large (13)C polarization via this technique. We herein demonstrate that up to 35% liquid-state (13)C polarization can be obtained in about 1.5 h using ubiquitous nitroxyl radicals in (13)C-labeled sodium salts by partially deuterating the solvents and using a polarizer operating at 1 K and 7 T.

Over 35% liquid-state 13C polarization obtained via dissolution dynamic nuclear polarization at 7 T and 1 K using ubiquitous nitroxyl radicals.

Hyperpolarization by dissolution dynamic nuclear polarization (DNP) is a versatile technique to dramatically enhance the nuclear magnetic resonance (NMR) signal intensity of insensitive long-T1 nuclear spins such as (6) Li. The (6) Li longitudinal relaxation of lithium ions in aqueous solutions strongly depends on the concentration of paramagnetic species, even if they are present in minute amounts. We herein demonstrate that blood oxygenation can be readily detected by taking advantage of the (6) Li signal enhancement provided by dissolution DNP, together with the more than 10% decrease in (6) Li longitudinal relaxation as a consequence of the presence of paramagnetic deoxyhemoglobin. Copyright © 2015 John Wiley & Sons, Ltd.

Article	Year
Over 35% liquid-state 13C polarization obtained via dissolution dynamic nuclear polarization at 7 T and 1 K using ubiquitous nitroxyl radicals. Physical chemistry chemical physics : PCCP\| PubMed ID: 24217111	2013
Hyperpolarized (6) Li as a probe for hemoglobin oxygenation level. Contrast media & molecular imaging\| PubMed ID: 26265292	2016

Riccardo Balzan

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