Evidence map›Paper›PMID 42532017›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Monolithic Janus Hydrogel Pressure Sensor for Wearable Motion and Physiological Monitoring.

Syed Atif Ali, Zeeshan Alam Ansari, Reynaldo Carlos Kuizon Montalbo, Hailemichael Ayalew, Yu-Sheng Hsiao, Chih-Wei Chu, Hsiao-Hua Yu, Hsiung-Lin Tu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

8 authors.

Syed Atif AliInstitute of Chemistry, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-8779-547X
Zeeshan Alam AnsariDepartment of Physics, National Taiwan University, Taipei, Taiwan.
Reynaldo Carlos Kuizon MontalboInstitute of Chemistry, Academia Sinica, Taipei, Taiwan.
Hailemichael AyalewInstitute of Chemistry, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-7622-8277
Yu-Sheng HsiaoDepartment of Materials Science and Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-2072-1844
Chih-Wei ChuNano-Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei, Taiwan.
Hsiao-Hua YuInstitute of Chemistry, Academia Sinica, Taipei, Taiwan.
Hsiung-Lin TuInstitute of Chemistry, Academia Sinica, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-1125-1879

Funding

National Science and Technology Council in Taiwan 112-2628-M-001-004-MY3National Science and Technology Council in Taiwan 114-2113-M-001-018National Science and Technology Council in Taiwan 114-2811-M-001-093
6 · The paper itself

Abstract

Sensitive pressure sensors with easy fabrication and stable performance are essential for next-generation wearable electronics. Here, we report a monolithic Janus hydrogel-based capacitive pressure sensor composed of two conductive layers and an intervening dielectric layer, forming an all-hydrogel sensing architecture. The conductive layers are fabricated from poly(3,4-ethylenedioxythiophene) (PEDOT) incorporated poly(ethylene glycol) diacrylate (PEGDA) hydrogels, while the dielectric layer consists of a pristine PEGDA matrix, enabling intimate interfacial bonding without the need for additional adhesives. The mechanical properties of the hydrogel system reveal tunable swelling behavior and elastic modulus as a function of PEGDA concentration. The resulting sensor displays  a sensitivity of 0.27 kPa

Indexed as

capacitive pressure sensorconductive polymerjanus hydrogelwearable bioelectronics

Identifiers

PMID42532017
PMCPMC13423481

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Registered trials

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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.