Evidence map›Paper›PMID 42749693›Full record

ArticleMicrosystems & nanoengineering2026

A mechanically robust wearable sweat analysis platform with plug-and-play interconnects for continuous biomarker profiling.

Tianhao Xue, Wanting Lin, Jiahui Zhou, Chaodan Luo, Bohua Li, Xiaofang Zhang, Ching-Jung Chen, Jen-Tsai Liu, Guixian Zhu

Abstract read
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

9 authors.

Tianhao XueSchool of Instrument Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing, China.
Wanting LinSchool of Instrument Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing, China.
Jiahui ZhouSchool of Instrument Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing, China.
Chaodan LuoSchool of Instrument Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing, China.
Bohua LiSchool of Instrument Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing, China.
Xiaofang ZhangDepartment of Clinical Laboratory, Tianjin Medical University General Hospital, Tianjin, China.
Ching-Jung ChenResearch Center for Materials Science and Opti-Electronic Technology, School of Optoelectronics, University of Chinese Academy of Sciences, Beijing, China. cjchen@ucas.ac.cn.
Jen-Tsai LiuResearch Center for Materials Science and Opti-Electronic Technology, College of Materials Science and Opti-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-1145-7888
Guixian ZhuSchool of Instrument Science and Optoelectronic Engineering, Beijing Information Science and Technology University, Beijing, China. zhuguixian@bistu.edu.cn.ORCID http://orcid.org/0000-0002-3205-6688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable electromechanical integration between disposable soft sensors and rigid hardware is crucial for wearable devices, yet physically fragile interfaces often cause severe motion artifacts and contact failures during exercise. To overcome this challenge, this study presents a mechanically robust sweat analysis platform featuring plug-and-play interconnects. Diverging from vulnerable printed inks, a scalable Flexible Printed Circuit Board (FPCB) was engineered with Electroless Nickel Immersion Gold (ENIG) terminals reinforced by a 0.1-mm Polyimide (PI) stiffener. This design ensures highly stable metal-to-metal contact under physical strain. To mitigate chloride corrosion while maintaining the high geometrical consistency of ENIG finishes, a hierarchical architecture was developed utilizing surface-modified carbon as the electrochemical transducer. The system enables accurate detection of lactate (5-80 mM, 0.04046 μA/mM), Na⁺ (12.5-200 mM, 119.59 mV/decade), and equivalent impedance-based sweat rate ( < 0.23 μL/min). Crucially, these robust interconnects facilitated 51 min of uninterrupted monitoring during vigorous aerobic and anaerobic exercises. Based on the acquired data, a proof-of-concept framework mapping sweat rate against lactate concentration was established for personalized exercise intensity zoning, offering a mass-manufacturable paradigm for precision sports physiology.

Identifiers

PMID42749693
PMCPMC13582863

What Socratic 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 Socratic graph.