Evidence map›Paper›PMID 42494155›Full record

ArticleAdvanced healthcare materials2026

Passive, Electromagnetic-Responsive Hydrogel Immunosensor for Exercise Intensity Monitoring Based on Sweat C-Reactive Protein.

Hao Wen, Xin Li, Feiyang Huang, Jiahao Wang, Rujing Sun, Zhiqing Gao, Jiawei Jin, Zhenghan Shi, Chaobo Dai, Zheng Peng and 4 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 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

14 authors.

Hao WenZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.
Xin LiZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.ORCID https://orcid.org/0009-0004-9613-9273
Feiyang HuangZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.
Jiahao WangCollege of Computer Science, Jiangxi University of Chinese Medicine, Nanchang, P. R. China.
Rujing SunZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.
Zhiqing GaoZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.
Jiawei JinZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.
Zhenghan ShiZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.
Chaobo DaiZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.
Zheng PengZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.
Zijian AnZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.ORCID https://orcid.org/0000-0003-1583-0798
Qing YeCollege of Computer Science, Jiangxi University of Chinese Medicine, Nanchang, P. R. China.
Bin SuState Key Laboratory of Soil Pollution Control and Safety, Zhejiang Key Laboratory of Excited-State Energy Conversion and Energy Storage, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, P. R. China.ORCID https://orcid.org/0000-0003-0115-2279
Qingjun LiuZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, P. R. China.

Funding

China, and the Project of Innovation Center for Smart Medical Technologies & Devices of Binjiang Institute of Zhejiang University, China ZY202510ZNKY018Space Medical Experiment Project of China Manned Space Program, China HYZHXMX01004Taizhou Science and Technology Plan Project of Zhejiang Province, China 25gya24Taizhou Science and Technology Plan Project of Zhejiang Province, China 25nyb05Zhejiang Provincial Science and Technology Plan Project (Lingyan Program) 2026C02A3031
6 · The paper itself

Abstract

Although moderate exercise benefits health, excessive amounts of prolonged, high-intensity exercise may damage tissues and cause inflammation-related diseases. There is a growing interest in exercise-related health monitoring and tracking; however, a handy, noninvasive, and accurate method for wearable detection of exercise-induced inflammation still lacks. Here, this work reports a wireless and passive immunosensor for the noninvasive, low-cost, and simple monitoring of C-reactive protein (CRP) in sweat as an inflammatory marker to evaluate exercise-induced inflammation. The sensor has a sandwich structure, in which the middle layer is an immuno-sensitive hydrogel whose internal network structure cracks with the entry of CRP. A pair of coils converts the change of hydrogel into a shift of radio frequency (RF). The limit of detection (LoD) is as low as pg mL

Indexed as

Biosensing TechniquesC-Reactive ProteinExerciseHydrogelsSweatHumansImmunoassayWearable Electronic DevicesC-Reactive ProteinHydrogelsbioelectronicshydrogelsimmunosensorspassive sensingwearable electronics

Identifiers

PMID42494155
PMCPMC13495878

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.