Maximizing Relayed <sup>1</sup>H Hyperpolarization Transfer by Slow-Fast MAS NMR Spectroscopy
<sup>1</sup>H-detected dynamic nuclear polarization (DNP)-enhanced fast magic angle spinning (MAS) NMR experiments provide unprecedented sensitivity to study the structure and dynamics in advanced materials and biomolecules. However, in relayed DNP experiments, DNP enhancements decrease with faster MAS rates, which is detrimental for sensitivity. The decrease is because <sup>1</sup>H-<sup>1</sup>H spin diffusion rates are significantly reduced at fast MAS frequencies. To improve sensitivity at these fast MAS rates, here, we propose to combine fast polarization build-up by relay at slow MAS rate with high-resolution <sup>1</sup>H NMR at fast MAS for acquisition. We perform experiments on l-histidine·HCl·H<sub>2</sub>O with MAS rates of up to 65 kHz using a 0.7 mm DNP probe at 18.8 T and 100 K. We obtain a 35% improvement in sensitivity in experiments where the sample is polarized at 20 kHz MAS and where the signal is acquired at 60 kHz MAS.
Authors
- Saumya Badoni (ORCID: https://orcid.org/0000-0002-5807-2301)
- Anne Lesage (ORCID: https://orcid.org/0000-0003-1958-2840)
- Lyndon Emsley (ORCID: https://orcid.org/0000-0003-1360-2572)
- Pierrick Berruyer (ORCID: https://orcid.org/0000-0003-1783-6034)
- Lorenzo Niccoli (ORCID: https://orcid.org/0000-0003-4609-7082)
Institutions
- Université Claude Bernard Lyon 1 (FR)
- École Normale Supérieure de Lyon (FR)
- Centre National de la Recherche Scientifique (FR)
- Interuniversity Consortium for Magnetic Resonance (IT)
- Centre de RMN à Très Hauts Champs de Lyon (FR)
- University of Florence (IT)
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- The Journal of Physical Chemistry A
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1021/acs.jpca.4c02452
- Citations
- 1
- Primary Topic
- Advanced NMR Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.24
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- H2020 Research Infrastructures