Evidence map›Paper›PMID 38991267›Full record

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

Low power supercycled TPPM decoupling.

Rajat Garg, Barry DeZonia, Alexander L Paterson, Chad M Rienstra

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. OPTO: Automated Optimization for Solid-State NMR Spectroscopy.Journal of the American Chemical Society · 2025
    Article
  3. Low-power WALTZ decoupling under magic-angle spinning NMR.Magnetic resonance (Gottingen, Germany) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rajat GargDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, 53706, United States. Electronic address: rgarg32@wisc.edu.
Barry DeZoniaNational Magnetic Resonance Facility at Madison (NMRFAM), University of Wisconsin-Madison, Madison, WI, 53706, United States. Electronic address: barry.dezonia@wisc.edu.
Alexander L PatersonNational Magnetic Resonance Facility at Madison (NMRFAM), University of Wisconsin-Madison, Madison, WI, 53706, United States. Electronic address: alpaterson@wisc.edu.
Chad M RienstraDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, 53706, United States; National Magnetic Resonance Facility at Madison (NMRFAM), University of Wisconsin-Madison, Madison, WI, 53706, United States; Morgridge Institute for Research, University of Wisconsin-Madison, Madison, WI, 53715, United States. Electronic address: crienstra@wisc.edu.

Funding

Technologies for Solid-State NMR Data CollectionP41GM136463 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI WESTLER, WILLIAM MILO · 2021 to 2025
$6.4M
High-Field, Wide-Bore Solid-State NMR Spectrometer for Membrane Protein StructureS10RR025037 · NCRR · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI RIENSTRA, CHAD M · 2008 to 2008
$1.9M
NCRR NIH HHS S10 RR025037NIGMS NIH HHS P41 GM136463
6 · The paper itself

Abstract

Improving the spectral sensitivity and resolution of biological solids is one of the long-standing problems in nuclear magnetic resonance (NMR) spectroscopy. In this report, we introduce low-power supercycled variants of two-pulse phase-modulated (TPPM) sequence for heteronuclear decoupling. The utility of the sequence is shown by improvements in the transverse relaxation time of observed nuclei (with

Indexed as

Low power heteronuclear decouplingMASResolutionSolid state NMRsTPPMSupercycle

Identifiers

PMID38991267
PMCPMC11364148

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Registered trials

None linked

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.