Evidence map›Paper›PMID 42627890›Full record

ArticleScience advances2026

Spiderweb-inspired electronically conductive hygroscopic adhesive for chronic bioelectronic interface.

Lingxuan Kong, Fulin Wang, Hanqi Wen, Chan Wang, Zheye Zhang, Lewen Zheng, Zhuoming Liang, Yuxin Liu, Peng Chen

Abstract read
In one paragraph

Article in Science advances, 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.

Lingxuan KongSchool of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore.ORCID 0000-0002-6425-6510
Fulin WangSchool of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore.
Hanqi WenSchool of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore.
Chan WangDepartment of Biomedical Engineering (BME), National University of Singapore, Singapore 117583, Singapore.
Zheye ZhangSchool of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore.ORCID 0000-0002-2268-5050
Lewen ZhengSchool of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore.
Zhuoming LiangDepartment of Biomedical Engineering (BME), National University of Singapore, Singapore 117583, Singapore.
Yuxin LiuDepartment of Biomedical Engineering (BME), National University of Singapore, Singapore 117583, Singapore.ORCID 0000-0003-0623-9402
Peng ChenSchool of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore.ORCID 0000-0003-3730-1846

Funding

Wellcome Trust
6 · The paper itself

Abstract

Long-term physiological signal monitoring is critical for accurate diagnosis and effective management of chronic diseases. However, current electrode technologies face significant drawbacks: dry electrodes exhibit high electrochemical impedance and poor adhesion to skin, while wet electrodes suffer from short service lifetimes due to water loss. Inspired by the hygroscopic properties of spider webs, we developed an electronically conductive hygroscopic adhesive (termed as "hygrotrode") that continuously absorbs ambient moisture through a cross-linked, three-dimensional hygroscopic polymer network. This design maintains a low interface impedance and high adhesion energy for over a year, facilitated by absorbed intermediate water that electrochemically bridges the conducting polymer and skin tissue. The specific impedance of hygrotrode is 82.4 times lower compared with wet electrodes after 1 year. We further demonstrate hygrotrode's suitability for chronic biopotential monitoring and electromyography-based gesture recognition, highlighting its wide-ranging applicability in long-term wearable electronics and human-machine interfaces.

Indexed as

AdhesivesElectric ConductivitySpidersWearable Electronic DevicesAnimalsElectrodesElectromyographyHumansPolymersWettabilityAdhesivesPolymers

Identifiers

PMID42627890
PMCPMC13496177

What OpenQuestion holds

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LicenceCC BY
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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.