Evidence map›Paper›PMID 41543758›Full record

ArticleChemical communications (Cambridge, England)2026

Benchtop NMR signal enhancement of metabolites in urine extract using SABRE.

Simon Fleischer, Jing Yang, Kerti Ausmees, Indrek Reile, Neil MacKinnon, Jan Gerrit Korvink, Sören Lehmkuhl

Abstract read
In one paragraph

Article in Chemical communications (Cambridge, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. AutomatedAnalytical chemistry · 2026
    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.

Simon FleischerInstitute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany. simon.fleischer@kit.edu.ORCID http://orcid.org/0000-0003-3554-8888
Jing YangInstitute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany. simon.fleischer@kit.edu.ORCID http://orcid.org/0009-0007-4956-5853
Kerti AusmeesNational Institute of Chemical Physics and Biophysics, Akadeemia tee 23, 12618 Tallinn, Estonia.ORCID http://orcid.org/0000-0001-7680-1515
Indrek ReileNational Institute of Chemical Physics and Biophysics, Akadeemia tee 23, 12618 Tallinn, Estonia.ORCID http://orcid.org/0000-0003-3278-7947
Neil MacKinnonInstitute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany. simon.fleischer@kit.edu.ORCID http://orcid.org/0000-0002-9362-4845
Jan Gerrit KorvinkInstitute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany. simon.fleischer@kit.edu.ORCID http://orcid.org/0000-0003-4354-7295
Sören LehmkuhlInstitute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany. simon.fleischer@kit.edu.ORCID http://orcid.org/0000-0002-1321-7677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolites in a urine extract are signal-enhanced by SABRE hyperpolarization and detected using a benchtop NMR spectrometer. Quantification by standard addition is demonstrated for endogenic urinary nicotinamide (vitamin B3). Even higher sensitivity is achieved in an automated setup for multi-scan SABRE experiments. This hyperpolarization scheme is able to expedite biomarker detection and quantification, while maintaining low infrastructure requirements.

Indexed as

NiacinamideHumansMagnetic Resonance SpectroscopyNiacinamide

Identifiers

PMID41543758
PMCPMC12810685

What OpenQuestion holds

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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.