自愈水凝胶
材料科学
纳米技术
聚丙烯酰胺
可穿戴计算机
软机器人
基质(水族馆)
复合数
计算机科学
化学工程
复合材料
机器人
嵌入式系统
高分子化学
人工智能
海洋学
地质学
工程类
作者
Shipeng Zhang,Fengmei Guo,Meng Li,Mengdan Yang,Ding Zhang,Lei Han,Xinjian Li,Yingjiu Zhang,Anyuan Cao,Yuanyuan Shang
标识
DOI:10.1016/j.jcis.2023.12.039
摘要
Hydrogel-based functional materials had attracted great attention in the fields of artificial intelligence, soft robotics, and motion monitoring. However, the gelation of hydrogels induced by free radical polymerization typically required heating, light exposure, and other conditions, limiting their practical applications and development in real-life scenarios. In this study, a simple and direct method was proposed to achieve rapid gelation at room temperature by incorporating reductive MXene sheets in conjunction with metal ions into the chitosan network and inducing the formation of a polyacrylamide network in an extremely short time (10 s). This resulted in a dual-network MXene-crosslinked conductive hydrogel composite that exhibited exceptional stretchability (1350%), remarkably low dissipated energy (0.40 kJ m-3 at 100% strain), high sensitivity (GF=2.86 at 300-500% strain), and strong adhesion to various substrate surfaces. The study demonstrated potential applications in the reliable detection of various motions, including repetitive fine movements and large-scale human body motions. This work provided a feasible platform for developing integrated wearable health-monitoring electronic systems.
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