Evidence map›Paper›PMID 42324249›Full record

ArticleMicrosystems & nanoengineering2026

Sweat and air permeable electronics enabled by engineered hierarchical fabric system for exercise management.

Qiuqian Ou, Hongwei Chu, Yujian Liu, Liangling Cai, Zhenhe Huang, Dan Li, Jiating Lin, Yue Hu, Jiyu Li, Peng Li and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microsystems & nanoengineering, 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

13 authors.

Qiuqian Ou *Shenzhen Key Laboratory of Organic Pollution Prevention and Control, School of Biomedical Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, PR China.
Hongwei Chu *Shenzhen Key Laboratory of Organic Pollution Prevention and Control, School of Biomedical Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, PR China.
Yujian LiuShenzhen Key Laboratory of Organic Pollution Prevention and Control, School of Biomedical Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, PR China.
Liangling CaiDepartment of Geriatrics, Xiehe Shenzhen Hospital, Huazhong University of Science and Technology, Shenzhen, China.
Zhenhe HuangDepartment of Geriatrics, Xiehe Shenzhen Hospital, Huazhong University of Science and Technology, Shenzhen, China.
Dan LiDepartment of Geriatrics, Xiehe Shenzhen Hospital, Huazhong University of Science and Technology, Shenzhen, China.
Jiating LinDepartment of Geriatrics, Xiehe Shenzhen Hospital, Huazhong University of Science and Technology, Shenzhen, China.
Yue HuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Jiyu LiDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-4726-4559
Peng LiMacao Centre for Research and Development in Chinese Medicine, The State Key Laboratory of Mechanism and Quality of Chinese Medicine (University of Macau), Institute of Chinese Medical Sciences, University of Macau, Macao SAR, PR China.
Jiao YangShenzhen Key Laboratory of Organic Pollution Prevention and Control, School of Biomedical Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, PR China. yangjiao@hit.edu.cn.
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China. xingeyu@cityu.edu.hk.ORCID http://orcid.org/0000-0003-0522-1171
Yingchun LiShenzhen Key Laboratory of Organic Pollution Prevention and Control, School of Biomedical Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, PR China. liyingchun@hit.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82373831
6 · The paper itself

Abstract

Scientific exercise monitoring is significant for injury risk prevention and training outcome promotion. Wearable biosensing technologies have emerged as transformative tools for real-time, in-situ physiological state profiling through dynamic biomarker detection during exercise activities. However, current studies remain suboptimal for practical exercise management due to inherent constraints including single-analyte detection paradigms, limited permeability and breathability, and inadequate thermoregulatory performance. Here, we present a novel wearable composite fabric system engineered for multiplex sweat biomarker monitoring while delivering unprecedented wear comfort. The hierarchical architecture was achieved through strategic integration of interwoven fiber-based sensor arrays with conventional textiles, augmented by bilateral deposition of microbead-enhanced polyvinylidene difluoride (PVDF) and polyacrylonitrile (PAN) electrospun nanofiber membranes. The porous matrix, Janus hierarchical gradient, and microbead-mediated interfacial engineering render this fabric system with excellent breathability of 13 mm/s, water vapor transmission rate of 468.9 g/m

Identifiers

PMID42324249
PMCPMC13284365

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.