Evidence map›Paper›PMID 35857837›Full record

ArticleScience advances2022

Relayed hyperpolarization for zero-field nuclear magnetic resonance.

Erik T Van Dyke, James Eills, Román Picazo-Frutos, Kirill F Sheberstov, Yinan Hu, Dmitry Budker, Danila A Barskiy

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. AutomatedAnalytical chemistry · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Live magnetic observation of parahydrogen hyperpolarization dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors at 1 institution in 5 countries.

Erik T Van DykeInstitut für Physik, Johannes Gutenberg Universität Mainz, 55128 Mainz, Germany.ORCID 0000-0002-7088-5989
James EillsInstitut für Physik, Johannes Gutenberg Universität Mainz, 55128 Mainz, Germany.ORCID 0000-0001-8468-6860
Román Picazo-FrutosInstitut für Physik, Johannes Gutenberg Universität Mainz, 55128 Mainz, Germany.ORCID 0000-0002-6190-1975
Kirill F SheberstovInstitut für Physik, Johannes Gutenberg Universität Mainz, 55128 Mainz, Germany.ORCID 0000-0002-3520-6258
Yinan HuInstitut für Physik, Johannes Gutenberg Universität Mainz, 55128 Mainz, Germany.ORCID 0000-0002-9669-6596
Dmitry BudkerInstitut für Physik, Johannes Gutenberg Universität Mainz, 55128 Mainz, Germany.ORCID 0000-0002-7356-4814
Danila A BarskiyInstitut für Physik, Johannes Gutenberg Universität Mainz, 55128 Mainz, Germany.ORCID 0000-0002-2819-7584
GSI Helmholtz Centre for Heavy Ion Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zero- to ultralow-field nuclear magnetic resonance (ZULF NMR) is a rapidly developing form of spectroscopy that provides rich spectroscopic information in the absence of large magnetic fields. However, signal acquisition still requires a mechanism for generating a bulk magnetic moment for detection, and the currently used methods only apply to a limited pool of chemicals or come at prohibitively high cost. We demonstrate that the parahydrogen-based SABRE (signal amplification by reversible exchange)-Relay method can be used as a more general means of generating hyperpolarized analytes for ZULF NMR by observing zero-field

Identifiers

PMID35857837
PMCPMC9299534
OpenAlexW4285987583

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.