A Super‐Capacitive Pressure Sensor with Ultrahigh Sensitivity and Wide Linear Pressure Sensing Range for Human Bio‐Signal Detection and Electronic Skin

Soft super-capacitive sensors offer several advantages, including mechanical flexibility, high sensitivity, and rapid response, primarily due to the use of soft ionic elastomers and the electrical double layer (EDL) sensing mechanism. As for those sensors, achieving a broad linear pressure sensing range remains crucial, particularly when paired with a well-defined microstructure in the electrolyte layer, which enhances sensor repeatability and facilitates quality control. In this study, a novel design strategy is proposed to simultaneously enhance sensitivity and extend the linear sensing range by integrating a hierarchical dome microstructure within the electrolyte layer and incorporating a curvilinear design in the top electrode. Specifically, the optimized sensor shows an ultrahigh sensitivity (34.79 nF kPa<sup>-1</sup>), a wide linear sensing range (0-800 kPa), high pressure resolution (0.1%), and stable capacitance responses for dynamic pressure even at high pressure conditions (200 kPa). Moreover, the sensor is successfully examined to perform the detection of human bio-signals, including body movement, respiration pattern recognition, and wrist pulse detection. Additionally, the sensor demonstrates strong potential for serving as an electronic skin (e-skin), as it enables accurate object weight estimation and object identification through machine learning techniques, achieving 100% classification accuracy.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-09-12
DOI
https://doi.org/10.1002/advs.202512439
Citations
6
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
4.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Super‐Capacitive Pressure Sensor with Ultrahigh Sensitivity and Wide Linear Pressure Sensing Range for Human Bio‐Signal Detection and Electronic Skin

Liao Wu, Sha Zhao, Chenglong Xu, Shuhua Peng et al.
6 citations
Advanced Science
Advanced Sensor and Energy Harvesting Materials
4.04
article

A Super‐Capacitive Pressure Sensor with Ultrahigh Sensitivity and Wide Linear Pressure Sensing Range for Human Bio‐Signal Detection and Electronic Skin

Liao Wu, Sha Zhao, Chenglong Xu, Shuhua Peng, Bingnong Jiang, Allen J. Cheng, Yuansen Qiao, Zhuohan Cao, Zeyad Nasa, Dewei Chu, Shuai He, Wenkai Chang
article en
6 citations

Abstract

Soft super-capacitive sensors offer several advantages, including mechanical flexibility, high sensitivity, and rapid response, primarily due to the use of soft ionic elastomers and the electrical double layer (EDL) sensing mechanism. As for those sensors, achieving a broad linear pressure sensing range remains crucial, particularly when paired with a well-defined microstructure in the electrolyte layer, which enhances sensor repeatability and facilitates quality control. In this study, a novel design strategy is proposed to simultaneously enhance sensitivity and extend the linear sensing range by integrating a hierarchical dome microstructure within the electrolyte layer and incorporating a curvilinear design in the top electrode. Specifically, the optimized sensor shows an ultrahigh sensitivity (34.79 nF kPa<sup>-1</sup>), a wide linear sensing range (0-800 kPa), high pressure resolution (0.1%), and stable capacitance responses for dynamic pressure even at high pressure conditions (200 kPa). Moreover, the sensor is successfully examined to perform the detection of human bio-signals, including body movement, respiration pattern recognition, and wrist pulse detection. Additionally, the sensor demonstrates strong potential for serving as an electronic skin (e-skin), as it enables accurate object weight estimation and object identification through machine learning techniques, achieving 100% classification accuracy.

Advanced ScienceVol. 12(45)
UNSW Sydney (AU), Division of Materials Science and Engineering (AU), RMIT University (AU)
University of New South Wales
Openalex Percentile: Top 6%
Advanced Sensor and Energy Harvesting Materials
4.04
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.