高弹性、抗疲劳和抗冻的 MXene 功能化有机水凝胶作为用于人体运动监测的柔性压力传感器。

IF 8.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
ACS Applied Materials & Interfaces Pub Date : 2024-11-20 Epub Date: 2024-11-06 DOI:10.1021/acsami.4c12852
Yutong Han, Yuzhong Cao, Haozhe Zhuang, Yu Yao, Huina Cao, Zhanhong Li, Zifeng Wang, Zhigang Zhu
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引用次数: 0

摘要

基于导电有机水凝胶的柔性压力传感器因其出色的生物相容性、耐磨性和多功能性,在健康监测、人造皮肤和人机交互等领域受到广泛关注。然而,水凝胶不尽人意的机械性能和不稳定的电性能阻碍了它们的全面应用。本文设计了一种具有双网状结构和可逆交联相互作用的弹性、抗疲劳、抗冻的聚乙烯醇(PVA)/硫辛酸(LA)有机水凝胶,并将导电填料 MXene 功能化到有机水凝胶中,以进一步提高柔性压力传感器的多种传感性能。制成的基于 MXene 的 PVA/LA 有机水凝胶(PLBM)在 40% 的压缩应变下具有超过 450 次循环的稳定抗疲劳性、出色的弹性、防冻性能(S = 0.0402 kPa-1)和卓越的稳定性(超过 1000 次循环)。卓越的性能使传感器能够监测人体运动,如关节弯曲和喉咙吞咽。此外,该传感器集成了一维卷积神经网络和长短期记忆网络深度学习算法,识别字母的准确率高达 93.75%,在监测人体运动和人机交互方面具有巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Highly Elastic, Fatigue-Resistant, and Antifreezing MXene Functionalized Organohydrogels as Flexible Pressure Sensors for Human Motion Monitoring.

Highly Elastic, Fatigue-Resistant, and Antifreezing MXene Functionalized Organohydrogels as Flexible Pressure Sensors for Human Motion Monitoring.

Conductive organohydrogels-based flexible pressure sensors have gained considerable attention in health monitoring, artificial skin, and human-computer interaction due to their excellent biocompatibility, wearability, and versatility. However, hydrogels' unsatisfactory mechanical and unstable electrical properties hinder their comprehensive application. Herein, an elastic, fatigue-resistant, and antifreezing poly(vinyl alcohol) (PVA)/lipoic acid (LA) organohydrogel with a double-network structure and reversible cross-linking interactions has been designed, and MXene as a conductive filler is functionalized into organohydrogel to further enhance the diverse sensing performance of flexible pressure sensors. The as-fabricated MXene-based PVA/LA organohydrogels (PLBM) exhibit stable fatigue resistance for over 450 cycles under 40% compressive strain, excellent elasticity, antifreezing properties (<-20 °C), and degradability. Furthermore, the pressure sensors based on the PLBM organohydrogels show a fast response time (62 ms), high sensitivity (S = 0.0402 kPa-1), and excellent stability (over 1000 cycles). The exceptional performance enables the sensors to monitor human movements, such as joint flexion and throat swallowing. Moreover, the sensors integrating with the one-dimensional convolutional neural networks and the long-short-term memory networks deep learning algorithms have been developed to recognize letters with a 93.75% accuracy, representing enormous potential in monitoring human motion and human-computer interaction.

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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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