A Stretch-Insensitive Pressure Sensor Based on Liquid Metal Composite with a Hierarchical Conductive Network

With the rapid advancement of soft conductor technology, stretchable pressure sensors have gained increasing attention for their potential applications in sensing physical interactions on curved and deformable surfaces such as the human body and soft robotics. However, their practical implementation remains challenged by the interference of in-plane stretching, which affects the pressure-sensing performance due to changes in the electrical properties of stretchable electrode materials and/or the deformation of sensing structures. Here, we present a liquid metal composite (LMC)-based stretch-insensitive pressure sensor (SIPS), including the LMC electrodes with a hierarchical conductive network assembled by applying an acoustic field to the LMC, and a pyramid dielectric layer with a strain-distribution design. This hybrid design enables the electrode layer to maintain a highly stable resistance, with variations of less than 5% under a stretching strain ranging from 0% to 150%. Additionally, the pyramid LMC dielectric layer experiences only 10% strain when the SIPS is stretched to 100%, ensuring a highly consistent capacitance-pressure response across different stretching states. Furthermore, our SIPS has been attached on deformable human skin and demonstrated capable of accurately monitoring the physiological signals and human-environment interactions.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-05-30
DOI
https://doi.org/10.1021/acsami.5c03997
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35

Funders

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

A Stretch-Insensitive Pressure Sensor Based on Liquid Metal Composite with a Hierarchical Conductive Network

Xinyi Zhu, Gang Ma, Shiwu Zhang, Yongsheng Guo et al.
2 citations
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
1.35
article

A Stretch-Insensitive Pressure Sensor Based on Liquid Metal Composite with a Hierarchical Conductive Network

Xinyi Zhu, Gang Ma, Shiwu Zhang, Yongsheng Guo, Peng Zhang, Weihua Li, Shuai Dong
article en
2 citations

Abstract

With the rapid advancement of soft conductor technology, stretchable pressure sensors have gained increasing attention for their potential applications in sensing physical interactions on curved and deformable surfaces such as the human body and soft robotics. However, their practical implementation remains challenged by the interference of in-plane stretching, which affects the pressure-sensing performance due to changes in the electrical properties of stretchable electrode materials and/or the deformation of sensing structures. Here, we present a liquid metal composite (LMC)-based stretch-insensitive pressure sensor (SIPS), including the LMC electrodes with a hierarchical conductive network assembled by applying an acoustic field to the LMC, and a pyramid dielectric layer with a strain-distribution design. This hybrid design enables the electrode layer to maintain a highly stable resistance, with variations of less than 5% under a stretching strain ranging from 0% to 150%. Additionally, the pyramid LMC dielectric layer experiences only 10% strain when the SIPS is stretched to 100%, ensuring a highly consistent capacitance-pressure response across different stretching states. Furthermore, our SIPS has been attached on deformable human skin and demonstrated capable of accurately monitoring the physiological signals and human-environment interactions.

ACS Applied Materials & InterfacesVol. 17(27)
University of Science and Technology of China (CN), University of Wollongong (AU), Institute of Precision Mechanics (PL)
National Natural Science Foundation of China, Australian Research Council, Fundamental Research Funds for the Central Universities, Anhui Provincial Key Research and Development Plan
Affordable and clean energy
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
1.35
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.