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

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 13 C ≤ −29.7‰, δ 15 N ≤ +0.4‰) were clearly differentiated from authentic urine isotope ratios (δ 13 C ≥ −26.1‰, δ 15 N ≥ +1.6‰), reflecting the synthetic origin of constituents. Mixtures of synthetic and authentic urine up to 50:50 displayed isotope signatures inconsistent with human urine, enabling reliable detection of adulteration. The LC‐MS/MS approach detected mixed samples with high proportions of synthetic urine by combining biomolecule profiling with synthetic urine‐specific markers. Overall, the findings demonstrate that EA‐IRMS is a complementary tool for identifying synthetic or manipulated urine samples, especially when traditional biomarkers or steroid profiles are inconclusive. The method enhances the reliability of doping control and forensic urine authenticity testing.

Authors

Institutions

Publication Details

Journal
Drug Testing and Analysis
Published
2026-06-18
DOI
https://doi.org/10.1002/dta.70106
Primary Topic
Hormonal and reproductive studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Mario Thevis, Frank Huelsemann, Dirk K. Wissenbach, F Gregor et al.
Drug Testing and Analysis
Hormonal and reproductive studies
article

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

Mario Thevis, Frank Huelsemann, Dirk K. Wissenbach, F Gregor, Laura Franke
article en

Abstract

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 13 C ≤ −29.7‰, δ 15 N ≤ +0.4‰) were clearly differentiated from authentic urine isotope ratios (δ 13 C ≥ −26.1‰, δ 15 N ≥ +1.6‰), reflecting the synthetic origin of constituents. Mixtures of synthetic and authentic urine up to 50:50 displayed isotope signatures inconsistent with human urine, enabling reliable detection of adulteration. The LC‐MS/MS approach detected mixed samples with high proportions of synthetic urine by combining biomolecule profiling with synthetic urine‐specific markers. Overall, the findings demonstrate that EA‐IRMS is a complementary tool for identifying synthetic or manipulated urine samples, especially when traditional biomarkers or steroid profiles are inconclusive. The method enhances the reliability of doping control and forensic urine authenticity testing.

Drug Testing and Analysis
German Sport University Cologne (DE), Jena University Hospital (DE), Friedrich Schiller University Jena (DE)
Openalex Percentile: Top 6%
Hormonal and reproductive studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.