Evidence map›Paper›PMID 42502722›Full record

ReviewJournal of pharmaceutical analysis2026

Sweat as a diagnostic biofluid: analytical advances and future directions.

Dayanne Mozaner Bordin, Janice Irene McCauley, Eduardo Geraldo de Campos, David Bishop, Bruno Spinosa De Martinis

Abstract readReview
In one paragraph

Review in Journal of pharmaceutical analysis, 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

5 authors.

Dayanne Mozaner BordinAtomic Medicine Initiative, University of Technology Sydney, Ultimo, NSW, Australia.
Janice Irene McCauleyAtomic Medicine Initiative, University of Technology Sydney, Ultimo, NSW, Australia.
Eduardo Geraldo de CamposDepartment of Forensic Science, Sam Houston State University, Huntsville, TX, United States.
David BishopHyphenated Mass Spectrometry Laboratory, University of Technology Sydney, Ultimo, NSW, Australia.
Bruno Spinosa De MartinisDepartment of Chemistry, Faculty of Philosophy, Sciences and Letters of Ribeirao Preto, University of São Paulo, Ribeirao Preto, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of sweat as an alternative specimen for biological analyses is well recognised and has been successfully applied in forensic toxicology and clinical health assessments. Compared to conventional matrices such as urine and blood, sweat samples are easy to obtain, are less invasive and present a reduced number of endogenous interferents. Advanced analytical techniques in sweat analysis have considerably expanded capabilities in the isolation of drugs, detection of complex metabolites and identification of biomarkers. The ability to detect a broader range of substances with greater sensitivity and accuracy, improved speed and efficiency and enhanced reliability present opportunities for non-invasive chemical sensing in sweat for a much broader scope of metabolites than traditionally recognised. The year 2023 was marked by an evolutionary step in artificial intelligence (AI), opening the door for improved pattern analysis and classification algorithms to improve diagnostic precision and therapeutic accuracy. It is anticipated that when combined with advances in the performance and miniaturization of integrated circuits, stretchable electronics, wireless connectivity and longer battery life, a substantial impact is expected on the development of wearable biosensor devices to provide meaningful information to the physiology of end-users, expanding its role in personalized medicine and health monitoring. Therefore, the aim of this review is to provide an integrative overview of sweat as a diagnostic and monitoring biofluid by first discussing traditional methods in clinical and forensic applications. Recent advancements in sweat biomarker detection are then highlighted, followed by an evaluation of sweat's potential for real-time physiological monitoring.

Identifiers

PMID42502722
PMCPMC13400351

What OpenQuestion holds

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LicenceCC BY
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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.