Fast-Response and Broad-Detection-Range Flexible Capacitive Pressure Sensor Based on Origami-Structured Barium Titanate Nanoparticles/Graphene/Silicone Rubber Nanocomposites

Flexible pressure sensors are becoming increasingly significant in the realm of wearable devices and human-machine interaction. However, challenges persist in the current status quo, including complicated fabrication processes, mutual constraints of sensitivity and detection range, and slow response times. In this study, we propose a low-cost and simple-to-manufacture flexible pressure sensor (BGSPS). 3D-printed composite origami structures are utilized as the dielectric layer, and the dielectric filler (barium titanate) and conductive filler (graphene) are doped into the dielectric layer to improve the capacitive response. Finite element simulations and practical experiments are utilized to systematically optimize the structural design parameters and investigate the content of the conductive and dielectric fillers. Due to the optimized origami-structured dielectric layer and the introduction of two materials, the BGSPS exhibits fast response/recovery times (25 ms/25 ms), high sensitivity (3.28 kPa<sup>-1</sup> in 0-10 kPa), a broad sensing range (0-437.5 kPa), and long-term stability (5000 cycles). Finally, BGSPS-based applications, including human motion monitoring, smart insole systems, and flexible sensing arrays, are demonstrated, proving the potential applications of the sensor in the domains of smart healthcare and human-computer interaction.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-07-21
DOI
https://doi.org/10.1021/acsami.5c10259
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fast-Response and Broad-Detection-Range Flexible Capacitive Pressure Sensor Based on Origami-Structured Barium Titanate Nanoparticles/Graphene/Silicone Rubber Nanocomposites

Xingjian Yu, Pengxin Wang, Qianqian Wen, Xiaohui Guo et al.
3 citations
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
2.02
article

Fast-Response and Broad-Detection-Range Flexible Capacitive Pressure Sensor Based on Origami-Structured Barium Titanate Nanoparticles/Graphene/Silicone Rubber Nanocomposites

Xingjian Yu, Pengxin Wang, Qianqian Wen, Xiaohui Guo, Weiqiang Hong, Zihan Lin, Yunong Zhao, Ziyan Han, Xiaowen Zhu, Bing Hu, Fei Wu, Qi Hong, Xinyi Wan, X. D. Ruan
article en
3 citations

Abstract

Flexible pressure sensors are becoming increasingly significant in the realm of wearable devices and human-machine interaction. However, challenges persist in the current status quo, including complicated fabrication processes, mutual constraints of sensitivity and detection range, and slow response times. In this study, we propose a low-cost and simple-to-manufacture flexible pressure sensor (BGSPS). 3D-printed composite origami structures are utilized as the dielectric layer, and the dielectric filler (barium titanate) and conductive filler (graphene) are doped into the dielectric layer to improve the capacitive response. Finite element simulations and practical experiments are utilized to systematically optimize the structural design parameters and investigate the content of the conductive and dielectric fillers. Due to the optimized origami-structured dielectric layer and the introduction of two materials, the BGSPS exhibits fast response/recovery times (25 ms/25 ms), high sensitivity (3.28 kPa<sup>-1</sup> in 0-10 kPa), a broad sensing range (0-437.5 kPa), and long-term stability (5000 cycles). Finally, BGSPS-based applications, including human motion monitoring, smart insole systems, and flexible sensing arrays, are demonstrated, proving the potential applications of the sensor in the domains of smart healthcare and human-computer interaction.

ACS Applied Materials & InterfacesVol. 17(30)
Anhui University (CN)
Affordable and clean energy
Openalex Percentile: Top 13%
Advanced Sensor and Energy Harvesting Materials
2.02
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.