Evidence map›Paper›PMID 41031091›Full record

ArticleFrontiers in bioengineering and biotechnology2025

A novel non-invasive sweat lactate biosensor and its application in human exercise monitoring.

Haolin Xin, Zilin Wei, Yingkai Qin, Aili Wei, Kang Chen, Longfei Xu, Bin Li, Kun Wang, Tianhui Wang

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

9 authors.

Haolin Xin *Military Medical Sciences Academy, Tianjin, China.
Zilin Wei *Military Medical Sciences Academy, Tianjin, China.
Yingkai Qin *Military Medical Sciences Academy, Tianjin, China.
Aili WeiMilitary Medical Sciences Academy, Tianjin, China.
Kang ChenMilitary Medical Sciences Academy, Tianjin, China.
Longfei XuMilitary Medical Sciences Academy, Tianjin, China.
Bin LiNo. 950 Hospital of the Chinese People's Liberation Army, Yecheng, China.
Kun WangMilitary Medical Sciences Academy, Tianjin, China.
Tianhui WangMilitary Medical Sciences Academy, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Lactate is a key biomarker for clinical diagnostics and athletic performance monitoring. Conventional blood-based assays are invasive and not ideal for real-time applications. Sweat, as a non-invasive alternative, offers significant advantages for dynamic lactate tracking. Methods: We developed a highly sensitive fluorescence resonance energy transfer (FRET)-based aptasensor for lactate detection in sweat. The sensing platform utilizes aptamer-functionalized core-shell upconversion nanoparticles (APT-CS-UCNPs) as energy donors and Fe Results: The aptasensor exhibited a broad linear detection range (0-30 mM, Discussion: This FRET-based aptasensor enables accurate, rapid, and non-invasive lactate quantification using standard laboratory instrumentation. Its successful application in real human sweat samples highlights strong potential for both clinical diagnostics and athletic performance monitoring.

Indexed as

aptamerMoS2 nanosheetnon-invasive biosensorsweat lactateupconversion nanoparticles

Identifiers

PMID41031091
PMCPMC12479049

What OpenQuestion holds

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Registered trials

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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.