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

IF 27.4 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Jianyu Pu,Yuantao Zhang,Huiming Ning,Yuanhao Tian,Chenxing Xiang,Hui Zhao,Yafeng Liu,Alamusi Lee,Xinglong Gong,Ning Hu,Tonghua Zhang,Shu Wang
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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.
基于双介电层的离子压力传感器耦合超高灵敏度和大范围检测的温度/压力双模传感。
离子电子压力传感器具有灵敏度高、测量范围宽、分辨率高等优点,在人体运动监测和人机交互领域得到了广泛的应用。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的传感器结构——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。使用蚕茧离子凝胶和开孔聚氨酯泡沫作为介质进行验证,DLIPS具有超高灵敏度(72548.7 kPa-1)、宽工作压力范围(0.001-420 kPa)、极低的检出限(0.832 Pa)和超过5000次循环的显著耐久性。通过利用电容和电阻对压力和温度的不同响应,传感器可以同时测量这两个参数。采用深度学习回归模型对温度和压力混合信号进行解耦,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表现出强大的潜力,识别精度高达98.5%。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,强调了其在可穿戴技术应用中的多功能性。
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来源期刊
Advanced Materials
Advanced Materials 工程技术-材料科学:综合
CiteScore
43.00
自引率
4.10%
发文量
2182
审稿时长
2 months
期刊介绍: Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.
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