Porous Polymers for Generating Slow-Relaxing Hyperpolarization under Benchtop-DNP Conditions

Dissolution dynamic nuclear polarization (dDNP) is a hyperpolarization method providing an orders-of-magnitude sensitivity boost for liquid-state nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) experiments. We recently introduced a hyperpolarization strategy based on DNP at 1 T and 77 K (instead of 7 T and 1.2 K) and demonstrated two-orders-of-magnitude signal enhancements with a compact and affordable benchtop instrumentation, designed to enable repeated hyperpolarization cycles for multiscan NMR experiments. However, as in conventional dDNP, the required presence of paramagnetic polarizing agents for DNP is a major roadblock to melting the sample without dilution. The introduction of hyperpolarizing porous polymer (HYPOP) matrices achieved the paradoxical goal of generating fast polarization while preserving long relaxation times within the matrix. In this study, we evaluate DNP with HYPOP under benchtop conditions, and we demonstrate how paramagnetic relaxation effects can be minimized before and after dilution-free melting. We report 1 H signal enhancement factors exceeding 45 and 13 C polarization lifetimes over 50 s at 77 K and 18 s at 298 K, while the sample remains impregnated in the matrix. This represents a key milestone toward nondestructive melt DNP for replenishable hyperpolarized solution-state NMR.

Authors

Institutions

Publication Details

Journal
ACS Applied Polymer Materials
Published
2026-06-30
DOI
https://doi.org/10.1021/acsapm.6c00800
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Porous Polymers for Generating Slow-Relaxing Hyperpolarization under Benchtop-DNP Conditions

Roberto Melzi, Damien Montarnal, Sami Jannin, Quentin Stern et al.
ACS Applied Polymer Materials
Advanced NMR Techniques and Applications
article

Porous Polymers for Generating Slow-Relaxing Hyperpolarization under Benchtop-DNP Conditions

Roberto Melzi, Damien Montarnal, Sami Jannin, Quentin Stern, Ewoud Vaneeckhaute, James Kempf, Charlotte Bocquelet, Nathan Rougier, Julien Dieterich
article en

Abstract

Dissolution dynamic nuclear polarization (dDNP) is a hyperpolarization method providing an orders-of-magnitude sensitivity boost for liquid-state nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) experiments. We recently introduced a hyperpolarization strategy based on DNP at 1 T and 77 K (instead of 7 T and 1.2 K) and demonstrated two-orders-of-magnitude signal enhancements with a compact and affordable benchtop instrumentation, designed to enable repeated hyperpolarization cycles for multiscan NMR experiments. However, as in conventional dDNP, the required presence of paramagnetic polarizing agents for DNP is a major roadblock to melting the sample without dilution. The introduction of hyperpolarizing porous polymer (HYPOP) matrices achieved the paradoxical goal of generating fast polarization while preserving long relaxation times within the matrix. In this study, we evaluate DNP with HYPOP under benchtop conditions, and we demonstrate how paramagnetic relaxation effects can be minimized before and after dilution-free melting. We report 1 H signal enhancement factors exceeding 45 and 13 C polarization lifetimes over 50 s at 77 K and 18 s at 298 K, while the sample remains impregnated in the matrix. This represents a key milestone toward nondestructive melt DNP for replenishable hyperpolarized solution-state NMR.

ACS Applied Polymer Materials
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Bruker (United States) (US), Joint Center for Quantum Information and Computer Science (US), KU Leuven (BE)
HORIZON EUROPE European Research Council
Openalex Percentile: Top 14%
Advanced NMR Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.