Evidence map›Paper›PMID 42312799›Full record

ArticleDrug testing and analysis2026

Identification of Synthetic Urine by Analysis of Stable Carbon and Nitrogen Isotope Ratios and Comparison to Established GC-MS/MS and LC-MS/MS Analysis.

Frank Hülsemann, Laura Franke, Dirk K Wissenbach, Gregor Fußhöller, Mario Thevis

Abstract readComparative Study
In one paragraph

Article in Drug testing and analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Frank HülsemannInstitute of Biochemistry, German Sport University Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0001-8624-4097
Laura FrankeJena University Hospital, Institute for Forensic Medicine, Friedrich Schiller University Jena, Jena, Germany.ORCID https://orcid.org/0000-0001-7492-9822
Dirk K WissenbachJena University Hospital, Institute for Forensic Medicine, Friedrich Schiller University Jena, Jena, Germany.ORCID https://orcid.org/0000-0001-7392-021X
Gregor FußhöllerInstitute of Biochemistry, German Sport University Cologne, Cologne, Germany.
Mario ThevisInstitute of Biochemistry, German Sport University Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0002-1535-6451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Manipulation of urine samples is a recurring issue in doping control and forensic analyses, for instance through the use of synthetic urine products designed to mimic human urine. This study evaluated analytical approaches for identifying synthetic urine and mixtures of synthetic and authentic urine: gas chromatography tandem mass spectrometry (GC-MS/MS) for analysis of endogenous urinary steroids, elemental analyzer isotope ratio mass spectrometry (EA-IRMS) of carbon and nitrogen, and urea-nitrogen compared to an established liquid chromatography mass spectrometry (LC-MS/MS) method incorporating synthetic urine markers. All methods correctly identified synthetic urine in a double-blind sample set. As an initial testing procedure in doping control, GC-MS/MS identified synthetic urine samples through absence of endogenous steroids. However, EA-IRMS was superior to MS/MS methods in identifying mixtures of synthetic and authentic urine. Synthetic urine isotope ratios of total urinary carbon and nitrogen and/or urea nitrogen (δ

Indexed as

Carbon IsotopesGas Chromatography-Mass SpectrometryLiquid Chromatography-Mass SpectrometryNitrogen IsotopesSubstance Abuse DetectionTandem Mass SpectrometryChromatography, LiquidDoping in SportsHumansCarbon IsotopesNitrogen Isotopes

Identifiers

PMID42312799
PMCPMC13432729

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.