Evidence map›Paper›PMID 41927577›Full record

ArticleNPJ science of food2026

Proactive surveillance of foodborne bioactives by integrated dietary exposure and urinary excretion assessment.

Hana Park, Junghyun Son

Abstract read
In one paragraph

Article in NPJ science of food, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Hana ParkDoping Control Center, Korea Institute of Science and Technology, Seoul, Republic of Korea. oneappeal@kist.re.kr.
Junghyun SonDoping Control Center, Korea Institute of Science and Technology, Seoul, Republic of Korea. son.junghyun@kist.re.kr.

Funding

Research on Doping Control 2V09691, 2V10011, 2V10481
6 · The paper itself

Abstract

Unintentional ingestion of pharmacologically-active substances through foods and dietary supplements presents growing challenges for food safety and anti-doping regulation. We developed a high-throughput LC-MS/MS platform to simultaneously screen 331 compounds and quantify 214 analytes, with matrix-matched validation in pork, oat, and beverage. The method showed applicability across ten food types and was applied to seventy-eight commercial products, revealing frequent detection of bioactives such as octopamine, coclaurine, and olodaterol. Simulations of dietary exposure and urinary excretion demonstrated that some of these substances exceed World Anti-Doping Agency reporting thresholds under realistic consumption scenarios, risking adverse analytical findings even without intentional use. This study presents an integrated framework linking analytical detection with exposure assessment, enabling proactive identification of regulatory-relevant substances across complex food matrices. The approach provides a practical tool for monitoring foodborne chemical exposure and supports risk management for both the general population and athletes subject to strict doping control standards.

Identifiers

PMID41927577
PMCPMC13187269

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.