Evidence map›Paper›PMID 42211132›Full record

ArticleiScience2026

Differential polarization on assembled graphene electrodes for sweat metabolites detection.

Yongtao Tang, Yuanyuan Wu, Jianghai Zhu, Yang Liu, Yonghuan Chen, Tangyue Xue, Wenyan Yue, Fengyu Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 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

8 authors.

Yongtao TangCollege of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
Yuanyuan WuCollege of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
Jianghai ZhuCollege of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
Yang LiuCollege of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
Yonghuan ChenCollege of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
Tangyue XueCollege of Chemistry, Zhengzhou University, Zhengzhou 450001, China.
Wenyan YueCollege of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.
Fengyu LiCollege of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time sweat analysis is crucial for health and sports monitoring; yet, enzyme-based sensors suffer from instability and frequent recalibration. Here, we present an enzyme-free strategy that exploits differential polarization on structurally distinct graphene electrodes. Direct-written graphene oxide inks were dried to yield a dense graphene film (GF) or porous graphene aerogel (GA), then chemically reduced. Electrochemical characterization revealed two regimes: GA with low charge-transfer resistance and high surface area and GF with higher resistance and lower area, corresponding to mass-transport/adsorption-dominated versus charge-transfer-dominated behavior. Differential pulse voltammetry combined with linear discriminant analysis achieved 100% classification of 12 sweat-relevant analytes and accurately classified human cohorts using a wearable prototype. For quantification, symbolic regression mapped GA/GF features to concentration with near-unity slopes (R

Indexed as

Biochemical research methodElectrochemical materials scienceSensor

Identifiers

PMID42211132
PMCPMC13214551

What OpenQuestion holds

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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.