Dual‐Dielectric‐Layer‐Based Iontronic Pressure Sensor Coupling Ultrahigh Sensitivity and Wide‐Range Detection for Temperature/Pressure Dual‐Mode Sensing

J Jianyu Pu (State Key Laboratory of Resource Insects College of Sericulture, Textile and Biomass Sciences Southwest University Chongqing 400715 P. R. China) Y Yuantao Zhang H Huiming Ning (College of Aerospace Engineering Chongqing University Chongqing 400044 P. R. China) Y Yuanhao Tian (Southwest Technology and Engineering Research Institute Chongqing 400039 P. R. China) C Chenxing Xiang (Interdisciplinary Research Institute of Advanced Intelligent Equipment Xihua University Chengdu 610039 P. R. China) H Hui Zhao (Center of Ionic Liquid and Green Energy, Beijing Key Laboratory of Solid State Battery and Energy Storage Process, State Key Laboratory of Mesoscience and Engineering, Institute of Process Engineering) Y Yafeng Liu A Alamusi Lee (Interdisciplinary Research Institute of Advanced Intelligent Equipment Xihua University Chengdu 610039 P. R. China) X Xinglong Gong N Ning Hu T Tonghua Zhang (State Key Laboratory of Resource Insects College of Sericulture, Textile and Biomass Sciences Southwest University Chongqing 400715 P. R. China) S Shu Wang

Abstract

Abstract Iontronic pressure sensors are widely used in human motion monitoring and human–machine interactions owing to their high sensitivity, wide measurement range, and excellent resolution. However, conventional dielectric layer designs often involve complex fabrication processes, high costs, and limited performances. This paper proposes a novel sensor structure, the dual‐dielectric‐layer iontronic pressure sensor (DLIPS), which integrates high‐ and low‐permittivity layers. Validated using silkworm cocoon ion gel and open‐cell polyurethane foam as dielectrics, the DLIPS exhibited ultrahigh sensitivity (72548.7 kPa −1 ), a wide working pressure range (0.001–420 kPa), an exceptionally low detection limit (0.832 Pa), and remarkable durability exceeding 5000 cycles. By leveraging the distinct responses of the capacitance and resistance to pressure and temperature, the sensor can simultaneously measure both parameters. A deep learning regression model is integrated to decouple the mixed temperature and pressure signals, enabling accurate identification. Owing to its ultrahigh sensitivity and capability to detect minute pressure fluctuations, the DLIPS exhibited strong potential for skin‐mounted silent speech recognition systems, achieving a recognition accuracy of up to 98.5%. Furthermore, the DLIPS provides a cost‐effective and scalable approach for fabricating ultrahigh‐sensitivity pressure sensors, underscoring its versatility in wearable technology applications.

Article Details

Volume / Issue Vol. 37, Issue 40
Published October 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (12)

J

Jianyu Pu

State Key Laboratory of Resource Insects College of Sericulture, Textile and Biomass Sciences Southwest University Chongqing 400715 P. R. China

Y

Yuantao Zhang

H

Huiming Ning

College of Aerospace Engineering Chongqing University Chongqing 400044 P. R. China

Y

Yuanhao Tian

Southwest Technology and Engineering Research Institute Chongqing 400039 P. R. China

C

Chenxing Xiang

Interdisciplinary Research Institute of Advanced Intelligent Equipment Xihua University Chengdu 610039 P. R. China

H

Hui Zhao

Center of Ionic Liquid and Green Energy, Beijing Key Laboratory of Solid State Battery and Energy Storage Process, State Key Laboratory of Mesoscience and Engineering, Institute of Process Engineering

Y

Yafeng Liu

A

Alamusi Lee

Interdisciplinary Research Institute of Advanced Intelligent Equipment Xihua University Chengdu 610039 P. R. China

X

Xinglong Gong

N

Ning Hu

T

Tonghua Zhang

State Key Laboratory of Resource Insects College of Sericulture, Textile and Biomass Sciences Southwest University Chongqing 400715 P. R. China

S

Shu Wang