Evidence map›Paper›PMID 40438349›Full record

ArticleNational science review2025

An autonomous fabric electrochemical biosensor for efficient health monitoring.

Liangliang Zhou, Changxin Li, Yongfeng Luo, Qimin Liang, Yangyang Chen, Zhuojun Yan, Longbin Qiu, Sisi He

Abstract read
In one paragraph

Article in National science review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Electrochemical in-biosensing computing.National science review · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
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.

Liangliang ZhouHunan Province Key Laboratory of Materials Surface & Interface Science and Technology, College of Electronic Information and Physics, Central South University of Forestry and Technology, Changsha 410004, China.
Changxin LiShenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Yongfeng LuoHunan Province Key Laboratory of Materials Surface & Interface Science and Technology, College of Electronic Information and Physics, Central South University of Forestry and Technology, Changsha 410004, China.
Qimin LiangShenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Yangyang ChenShenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Zhuojun YanShenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Longbin QiuDepartment of Mechanical and Energy Engineering, SUSTech Energy Institute for Carbon Neutrality, Southern University of Science and Technology, Shenzhen 518055, China.ORCID https://orcid.org/0000-0002-7696-4901
Sisi HeShenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a promising frontier in next-generation healthcare monitoring, smart textiles that are capable of dynamic physiological sensing through sweat analysis represent an emerging paradigm in wearable electronics. However, the inherent inaccessibility of sweat in sedentary individuals and scenarios has restricted our ability to capitalize on this non-invasive and insightful source of molecule-level information. Here, we first present a comfortable, autonomous and integrated iontophoretic biosensing textile system that features an on-demand stimulation skin-interfaced sweat-induction unit. The textile system uses skin-interface stabilized iontophoretic hydrogel electrodes that enhance interface conformability and optimize interface impedance, eliminating the need for high-current stimulation in conventional iontophoresis. By combining biosensing fibers with a stabilized transduction layer design, we show that the resultant biosensing textile system continuously collects multibiomarker data, including glucose, lactate, uric acid and pH levels, for up to 6 hours. This system holds promise for advancing wearable electronics in personalized healthcare, clinical monitoring and remote diagnostics with superior user-friendliness and versatility.

Indexed as

fabric biosensorfiber-shaped devicehealth monitoringsweat inductionwearable

Identifiers

PMID40438349
PMCPMC12118457

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.