A practical guide to metal ions dynamic nuclear polarization in materials science
• Metal-ions dynamic nuclear polarization (MI-DNP) is an efficient approach to increase NMR sensitivity in the bulk of inorganic solids. • A detailed strategy is provided for efficient implementation of the MI-DNP approach to materials characterization. • The main MI-DNP steps include selection of the dopant, its characterization and MI-DNP-enhanced NMR measurements. • Each step of the guide is supplemented with a short theoretical background, accumulated experimental knowledge and clarifying example(s). In this protocol we outline the practical aspects and methodology for performing metal ions-based dynamic nuclear polarization (MI-DNP), focusing on materials science applications. In MI-DNP polarization is transferred from unpaired electrons of paramagnetic metal ions to nearby nuclear spins, thereby increasing the sensitivity of NMR spectroscopy. The protocol encompasses detailed steps for i) selecting suitable metal ions dopants based on chemical, structural and electron paramagnetic resonance (EPR) considerations, ii) characterizing the concentration, homogeneity and EPR properties of the dopant and iii) performing the MI-DNP experiment itself, including optimization of the field position and reliable assessment of the DNP enhancement factors. By adhering to this protocol, the interested reader can implement the MI-DNP approach in an efficient way, facilitating spectroscopic studies of functional materials.
Authors
- Michal Leskes (ORCID: https://orcid.org/0000-0002-7172-9689)
- Asya Svirinovsky-Arbeli (ORCID: https://orcid.org/0009-0001-6104-0984)
- Ilia B. Moroz (ORCID: https://orcid.org/0000-0002-7357-9100)
- Neta Katzav
Institutions
- Weizmann Institute of Science (IL)
Publication Details
- Journal
- Journal of Magnetic Resonance Open
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1016/j.jmro.2024.100173
- Citations
- 4
- Primary Topic
- Advanced NMR Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.96