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基于双介电层的离子电子压力传感器,实现温度/压力双模式传感的超高灵敏度和宽范围检测。

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

作者信息

Pu Jianyu, Zhang Yuantao, Ning Huiming, Tian Yuanhao, Xiang Chenxing, Zhao Hui, Liu Yafeng, Lee Alamusi, Gong Xinglong, Hu Ning, Zhang Tonghua, Wang Shu

机构信息

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

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

出版信息

Adv Mater. 2025 Jul 20:e03926. doi: 10.1002/adma.202503926.

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.

摘要

离子电子压力传感器因其高灵敏度、宽测量范围和出色的分辨率而广泛应用于人体运动监测和人机交互。然而,传统的介电层设计通常涉及复杂的制造工艺、高成本和有限的性能。本文提出了一种新型传感器结构,即双介电层离子电子压力传感器(DLIPS),它集成了高介电常数层和低介电常数层。以蚕茧离子凝胶和开孔聚氨酯泡沫作为电介质进行验证,DLIPS表现出超高灵敏度(72548.7 kPa)、宽工作压力范围(0.001 - 420 kPa)、极低的检测限(0.832 Pa)以及超过5000次循环的卓越耐久性。通过利用电容和电阻对压力和温度的不同响应,该传感器可以同时测量这两个参数。集成了深度学习回归模型以解耦混合的温度和压力信号,实现准确识别。由于其超高灵敏度和检测微小压力波动的能力,DLIPS在皮肤安装的无声语音识别系统中展现出强大潜力,实现了高达98.5%的识别准确率。此外,DLIPS为制造超高灵敏度压力传感器提供了一种经济高效且可扩展的方法,突出了其在可穿戴技术应用中的多功能性。

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