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基于巯基化石墨烯/聚酯纤维的多层压阻压力传感器用于人体运动检测

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

机构信息

School of Materials Science and Engineering , South China University of Technology , Guangzhou 510640 , China.

Key Lab of Guangdong Province for High Property and Functional Polymer Materials , Guangzhou 510640 , China.

出版信息

ACS Appl Mater Interfaces. 2018 Dec 5;10(48):41784-41792. doi: 10.1021/acsami.8b16027. Epub 2018 Nov 16.

Abstract

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 graphene@polyester (GSH@PET) 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 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.

摘要

在过去的几年中,由于可穿戴压力传感器在健康监测、电子皮肤和智能机器人等领域的重要应用,它们在全球范围内引起了新的关注。然而,直到现在,同时实现传感器的宽压力感应范围和高灵敏度仍然是一个巨大的挑战。在此,我们提出了一种通过一锅法构建具有原位生成的巯基化石墨烯@聚酯(GSH@PET)织物的多层结构压阻压力传感器的创新策略。利用粗糙织物层之间的间距和高导电性的 GSH,该传感器不仅实现了宽的压力范围(0-200kPa),而且具有高灵敏度(在 0-8kPa 和 30-200kPa 的范围内分别为 8.36kPa 和 0.028kPa)。经过 500 次加载-卸载循环后,传感器仍保持高灵敏度和稳定的响应,在长期实际应用中具有很大的潜力。重要的是,压阻式压力传感器成功应用于准确检测包括脉搏、身体运动和语音识别在内的不同人体行为。此外,由传感器集成的传感网络还实现了空间压力分布的映射和识别。我们构建宽范围和高灵敏度压阻式压力传感器的方法简单、经济高效,可用于大规模生产。该研究结果为新一代高性能传感器在医疗保健、交互式可穿戴设备、电子皮肤和智能机器人等领域的应用提供了新的方向。

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