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Ultrastretchable and Washable Conductive Microtextiles by Coassembly of Silver Nanowires and Elastomeric Microfibers for Epidermal Human–Machine Interfaces
ACS Materials Letters ( IF 9.6 ) Pub Date : 2021-05-27 , DOI: 10.1021/acsmaterialslett.1c00128
Haixiao Zhao 1 , Yunlei Zhou 2 , Shitai Cao 2 , Yifan Wang 2 , Jiaxue Zhang 2 , Shuxuan Feng 2 , Jiacheng Wang 2 , Dongchan Li 1 , Desheng Kong 2
Affiliation  

Electronic textiles offer exciting opportunities for an emerging class of electronic technology featuring intimate interaction with the human body. Among various functional components, a stretchable conductive textile represents a key building material to support the development of sensors, interconnects, and electrical contacts. In this study, a conductive textile is synthesized by bottom-up coassembly of silver nanowires and TPU microfibers. The conformal coverage of AgNW network over individual TPU microfibers gives rise to coherent deformations to mitigate the actual strain for enhanced stretchability and durability. The as-prepared conductive microtextile exhibits a series of desirable properties including excellent conductivity (>5000 S cm–1), exceptional stretchability (∼600% strain), soft mechanical properties, breathability, and washability. The practical implementation is demonstrated by fabricating an integrated epidermal sensing sleeve for multichannel EMG signal recordings, which supports real-time hand gesture recognitions powered by machine learning algorithm as a smart human–machine interface. The conductive textile reported in this study is well suited for garment integrated electronics with potential applications in health monitoring, robotic prosthetics, and competitive sports.

中文翻译:

银纳米线和弹性微纤维共组装用于表皮人机界面的超拉伸和可洗涤导电微织物

电子纺织品为新兴的电子技术提供了令人兴奋的机会,该电子技术与人体密切互动。在各种功能组件中,可拉伸的导电纺织品是支持传感器、互连和电触点开发的关键建筑材料。在这项研究中,通过银纳米线和 TPU 微纤维自下而上的共组装合成了一种导电纺织品。AgNW 网络在单个 TPU 微纤维上的保形覆盖会产生相干变形,以减轻实际应变,从而增强拉伸性和耐用性。所制备的导电微织物表现出一系列理想的特性,包括出色的导电性 (>5000 S cm –1)、出色的拉伸性(~600% 应变)、柔软的机械性能、透气性和耐洗性。通过制造用于多通道 EMG 信号记录的集成表皮传感套筒来证明实际实施,该套筒支持由机器学习算法作为智能人机界面的实时手势识别。本研究报告的导电纺织品非常适用于服装集成电子产品,在健康监测、机器人假肢和竞技运动中具有潜在应用。
更新日期:2021-07-05
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