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Title: Optimal sample formulations for DNP SENS: The importance of radical-surface interactions

Journal Article · · Current Opinion in Colloid & Interface Science

The efficacy of dynamic nuclear polarization (DNP) surface-enhanced NMR spectroscopy (SENS) is reviewed for alumina, silica, and ordered mesoporous carbon (OMC) materials, with vastly different surface areas, as a function of the biradical concentration. Importantly, our studies show that the use of a “one-size-fits-all” biradical concentration should be avoided when performing DNP SENS experiments and instead an optimal concentration should be selected as appropriate for the type of material studied as well as its surface area. In general, materials with greater surface areas require higher radical concentrations for best possible DNP performance. This result is explained with the use of a thermodynamic model wherein radical-surface interactions are expected to lead to an increase in the local concentration of the polarizing agent at the surface. We also show, using plane-wave density functional theory calculations, that weak radical-surface interactions are the cause of the poor performance of DNP SENS for carbonaceous materials.

Research Organization:
Ames Lab., Ames, IA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
EEC-0813570; AC02-07CH11358
OSTI ID:
1411961
Alternate ID(s):
OSTI ID: 1496490
Report Number(s):
IS-J-9394; PII: S1359029417300894
Journal Information:
Current Opinion in Colloid & Interface Science, Vol. 33, Issue C; ISSN 1359-0294
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 41 works
Citation information provided by
Web of Science

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New frontiers for solid-state NMR across the periodic table: a snapshot of modern techniques and instrumentation journal January 2019
Optimizing nitroxide biradicals for cross-effect MAS-DNP: the role of g -tensors’ distance journal January 2020
Large-scale ab initio simulations of MAS DNP enhancements using a Monte Carlo optimization strategy journal October 2018
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