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受年轮启发的具有分层结构的高拉伸性和多模式 MXene/CNTs/TPU 柔性电阻传感器,用于手部康复。

Highly Stretchable and Multimodal MXene/CNTs/TPU Flexible Resistive Sensor with Hierarchical Structure Inspired by Annual Ring for Hand Rehabilitation.

机构信息

Engineering Research Center for Knitting Technology, Ministry of Education, Jiangnan University, Wuxi 214122, China.

出版信息

ACS Sens. 2024 May 24;9(5):2476-2487. doi: 10.1021/acssensors.4c00164. Epub 2024 Apr 23.

Abstract

With the advent of the intelligent age and people's higher pursuit of health, wearable sensors with functions of health monitoring and assisting physical rehabilitation are increasingly favored by consumers. Wherein, highly stretchable flexible sensors show promising potential, but the unstable conductivity under large strains remains a great challenge to develop flexible wearable sensors with both a wide work range and strain insensitivity. Based on this, a MXene/CNTs/TPU flexible resistive sensor (MCT/FRS) with hierarchical structure inspired by the annual ring was proposed. Benefiting from the bioinspired structure with tightly warped inner layers and deformable spring structure outside, the MCT/FRSs enable stable sensing over a wide working range of up to 700% under the stretching mode, as well as superior durability (7500 cycles). It also possessed linear and adjustable piezoresistive properties under the compression mode. Finally, the sensor was not only successfully employed for monitoring various human movements but also was utilized to assist hand rehabilitation in patients with Guillain-Barré syndrome in both stretching and compression modes. This work provides promising and attractive solutions for flexible wearable devices and intelligent medical care.

摘要

随着智能时代的到来和人们对健康的更高追求,具有健康监测和辅助物理康复功能的可穿戴传感器越来越受到消费者的青睐。其中,高拉伸性的柔性传感器具有广阔的应用前景,但在大应变下不稳定的导电性仍是开发具有宽工作范围和应变不敏感性的柔性可穿戴传感器的一大挑战。基于此,受年轮启发,提出了一种具有分层结构的 MXene/CNTs/TPU 柔性电阻传感器(MCT/FRS)。得益于具有紧密扭曲内层和可变形弹簧结构的仿生结构,MCT/FRS 在拉伸模式下可在高达 700%的宽工作范围内实现稳定的传感,同时还具有出色的耐用性(7500 次循环)。它在压缩模式下还具有线性和可调节的压阻性能。最后,该传感器不仅成功用于监测各种人体运动,还可在拉伸和压缩模式下用于辅助吉兰-巴雷综合征患者的手部康复。这项工作为柔性可穿戴设备和智能医疗提供了有前景和吸引力的解决方案。

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