Thiolated Graphene@Polyester Fabric-Based Multilayer Piezoresistive Pressure Sensors for Detecting Human Motion

压阻效应 材料科学 压力传感器 电子皮肤 灵敏度(控制系统) 石墨烯 可穿戴计算机 可穿戴技术 纳米技术 晶体管 聚酯纤维 光电子学 计算机科学 声学 电子工程 电气工程 嵌入式系统 机械工程 电压 复合材料 工程类 物理
作者
Lin Zhang,Hongqiang Li,Xuejun Lai,Tianyuan Gao,Jian Yang,Xingrong Zeng
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:10 (48): 41784-41792 被引量:126
标识
DOI:10.1021/acsami.8b16027
摘要

In the past several years, wearable pressure sensors have engendered a new surge of interest worldwide because of their important applications in the areas of health monitoring, electronic skin, and smart robots. However, it has been a great challenge to simultaneously achieve a wide pressure-sensing range and high sensitivity for the sensors until now. Herein, we proposed an innovative strategy to construct multilayer-structure piezoresistive pressure sensors with an in situ generated thiolated [email protected] ( [email protected] ) fabric via the one-pot method. Taking advantage of the spacing among the rough fabric layers and the highly conductive GSH, the sensor realized not only a wide pressure range (0–200 kPa), but also high sensitivity (8.36 and 0.028 kPa –1 in the ranges of 0–8 and 30–200 kPa, respectively). After 500 loading–unloading cycles, the sensor still kept high sensitivity and a stable response, exhibiting great potential in long-term practical applications. Importantly, the piezoresistive pressure sensor was successfully applied to accurately detect different human behaviors including pulse, body motion, and voice recognition. Additionally, the sensing network integrated by the sensors also realized mapping and identifying spatial pressure distribution. Our method to construct the wide-range and high-sensitivity piezoresistive pressure sensor is facile, cost-effective, and available for mass production. The findings provide a new direction to fabricate the new-generation high-performance sensors for healthcare, interactive wearable devices, electronic skin, and smart robots.
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