Evidence map›Paper›PMID 41673135›Full record

ArticleAnalytical and bioanalytical chemistry2026

Machine learning-assisted wearable SERS-microfluidic system for rapid detection of sweat biomarkers and stimulants.

Yanjiao Zhang, Yanxian Guo, Wen Wang, Xianglin Fang, Yanguang Cong, Shaoxin Li

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Yanjiao Zhang *Dongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, The First Dongguan Affiliated Hospital, School of Biomedical Engineering, Guangdong Medical University, Dongguan, 523808, Guangdong, China.
Yanxian Guo *Dongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, The First Dongguan Affiliated Hospital, School of Biomedical Engineering, Guangdong Medical University, Dongguan, 523808, Guangdong, China.
Wen WangDongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, The First Dongguan Affiliated Hospital, School of Biomedical Engineering, Guangdong Medical University, Dongguan, 523808, Guangdong, China.
Xianglin FangDongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, The First Dongguan Affiliated Hospital, School of Biomedical Engineering, Guangdong Medical University, Dongguan, 523808, Guangdong, China.
Yanguang CongDongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, The First Dongguan Affiliated Hospital, School of Biomedical Engineering, Guangdong Medical University, Dongguan, 523808, Guangdong, China. ygcong@hotmail.com.
Shaoxin LiDongguan Key Laboratory of Medical Electronics and Medical Imaging Equipment, The First Dongguan Affiliated Hospital, School of Biomedical Engineering, Guangdong Medical University, Dongguan, 523808, Guangdong, China. lishaox@163.com.ORCID http://orcid.org/0000-0001-8187-9421

Funding

National Natural Science Foundation of China 82372353Natural Science Foundation of Guangdong Province 2023A1515010636Natural Science Foundation of Guangdong Province 2025A1515011533
6 · The paper itself

Abstract

Sweat is an ideal biofluid for noninvasive monitoring of athletes' physiological status during exercise, as its rich chemical composition directly reflects health and metabolic state. Herein, we develop a wearable device based on segmented circular microfluidic paper-based surface-enhanced Raman scattering (SCMP-SERS) for real-time sweat analysis during physical activity. The core sensor incorporates gold@carbon dots-based plasmonic paper, which exhibits exceptional SERS performance with a maximum enhancement factor of up to 3.6 × 10

Indexed as

BiomarkersCentral Nervous System StimulantsMachine LearningSpectrum Analysis, RamanSweatWearable Electronic DevicesBiosensing TechniquesHumansBiomarkersCentral Nervous System StimulantsMachine learningStimulantsSurface-enhanced Raman scatteringSweat biomarkersWearable sensor

Identifiers

PMID41673135

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.