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

Journal: Advanced materials (Deerfield Beach, Fla.)
Published Date: Jul 20, 2025

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), 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.

Authors

  • Jianyu Pu
    State Key Laboratory of Resource Insects, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, P. R. China.
  • Yuantao Zhang
    State Key Laboratory of Resource Insects, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, P. R. China.
  • Huiming Ning
    College of Aerospace Engineering, Chongqing University, Chongqing, 400044, China.
  • Yuanhao Tian
    Southwest Technology and Engineering Research Institute, Chongqing, 400039, P. R. China.
  • Chenxing Xiang
    Interdisciplinary Research Institute of Advanced Intelligent Equipment, Xihua University, Chengdu, 610039, P. R. China.
  • Hui Zhao
    School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong, 723000, Shaanxi, China.
  • Yafeng Liu
    Information Engineering University, Lanzhou 730050, China.
  • Alamusi Lee
    School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, China.
  • Xinglong Gong
    CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, P. R. China.
  • Ning Hu
    School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, China.
  • Tonghua Zhang
    State Key Laboratory of Resource Insects, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, P. R. China.
  • Shu Wang
    Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals