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

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 −1 in the pressure range of 0.49 to 3.43 kPa, and the operating range could extend upto 5.39 kPa. Additionally, the sensor exhibits stable electromechanical performance, featuring a short response time of 23 ms for the rising edge and 36 ms for the falling edge, allowing it to detect the pressure applied under repeated stimuli. Owing to its flexible nature, the designed sensor demonstrates reliable detection of a wide range of mechanical stimuli, from small physiological signals to human motions. Our results highlight that the Janus hydrogel with integrated conductive and dielectric layers could be a promising platform for wearable health monitoring.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-07-30
DOI
https://doi.org/10.1002/advs.76893
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zeeshan Alam Ansari, Hailemichael Ayalew, Hsiao‐hua Yu, Reynaldo Carlos K. Montalbo et al.
Advanced Science
Advanced Sensor and Energy Harvesting Materials
article

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

Zeeshan Alam Ansari, Hailemichael Ayalew, Hsiao‐hua Yu, Reynaldo Carlos K. Montalbo, Hsiung‐Lin Tu, Syed Atif Ali, Yu‐Sheng Hsiao, Chih‐Wei Chu
article en

Abstract

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 −1 in the pressure range of 0.49 to 3.43 kPa, and the operating range could extend upto 5.39 kPa. Additionally, the sensor exhibits stable electromechanical performance, featuring a short response time of 23 ms for the rising edge and 36 ms for the falling edge, allowing it to detect the pressure applied under repeated stimuli. Owing to its flexible nature, the designed sensor demonstrates reliable detection of a wide range of mechanical stimuli, from small physiological signals to human motions. Our results highlight that the Janus hydrogel with integrated conductive and dielectric layers could be a promising platform for wearable health monitoring.

Advanced Science
National Taiwan University of Science and Technology (TW), National Taiwan University (TW), Research Center for Applied Science, Academia Sinica (TW), Institute of Sociology, Academia Sinica (TW), Institute of Cellular and Organismic Biology, Academia Sinica (TW), Institute of Chemistry, Academia Sinica (TW), Institute of Economics, Academia Sinica (TW)
Openalex Percentile: Top 17%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.