Evidence map›Paper›PMID 39566367›Full record

ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2024

Proton hyperfine couplings and Overhauser DNP.

Michael Mardini, Christy George, Ravi Shankar Palani, Xizi Du, Kong Ooi Tan, Ivan Sergeyev, Yangping Liu, Robert G Griffin

Abstract read
In one paragraph

Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Michael MardiniDepartment of Chemistry and Francis Bitter Magnet Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Christy GeorgeDepartment of Chemistry and Francis Bitter Magnet Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ravi Shankar PalaniDepartment of Chemistry and Francis Bitter Magnet Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Xizi DuDepartment of Medicinal Chemistry, Tianjin Medical University, Tianjin 300070, China.
Kong Ooi TanDepartment of Chemistry and Francis Bitter Magnet Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ivan SergeyevBruker BioSpin, Billerica, MA 01821, USA.
Yangping LiuDepartment of Medicinal Chemistry, Tianjin Medical University, Tianjin 300070, China.
Robert G GriffinDepartment of Chemistry and Francis Bitter Magnet Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: rgg@mit.edu.

Funding

High Field DNP and EPR in Biological SystemsR01GM132997 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GRIFFIN, ROBERT GUY · 2019 to 2025
$4.6M
NIGMS NIH HHS R01 GM132997
6 · The paper itself

Abstract

We have prepared trityl radicals with protons at the positions of the -COOH group in the phenyl rings and examined their EPR spectra, which show large - hyperfine couplings, and their dynamic nuclear polarization (DNP) Zeeman field profiles . By assessing these polarizing agents for high-field and Overhauser effect DNP, we gain insight into the roles that these hyperfine couplings and other molecular properties play in the DNP performance of these radicals. Interestingly, we do not observe OE DNP in any of the three molecules we examined. This suggests that hyperfine couplings by themselves are not sufficient to support OE DNP. In this case the electron spin density is ∼75 % localized on the central carbon atom rather than being distributed uniformly over the aromatic rings. This is in contrast to BDPA where the distribution is delocalized. Our findings do not suggest that any of these radicals are particularly well-suited to high-field DNP. Furthermore, we emphasize that polarizing agents can be extremely sensitive to their solvent environment, even obscuring the intrinsic magnetic properties of the radical.

Indexed as

DNPEPRHyperfine couplingsNMRTrityl

Identifiers

PMID39566367
PMCPMC12065641

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.