自愈水凝胶
材料科学
导电体
可穿戴计算机
纳米技术
韧性
电导率
纳米纤维
数码产品
聚吡咯
稳健性(进化)
可穿戴技术
人工肌肉
多孔性
柔性电子器件
原位聚合
导电聚合物
极限抗拉强度
可伸缩电子设备
仿生学
计算机科学
芳纶
电极
电阻率和电导率
热传导
张拉整体
软机器人
纳米尺度
作者
Y. Z. Liu,X. M. Wang,Junjie Wang,Zhuang Li,Kelong Ao,Guangwei Liang,Haiqing Liu,Qirui Zhang,Mengjiao Pan,Dahua Shou
出处
期刊:Nano-micro Letters
[Springer Science+Business Media]
日期:2026-02-09
卷期号:18 (1): 249-249
被引量:19
标识
DOI:10.1007/s40820-026-02094-y
摘要
Abstract Conductive hydrogels are revolutionizing the fields of wearable sensors, implantable bioelectronics, and soft robotics. However, achieving both mechanical robustness and high conductivity within a single system remains challenging. Here, inspired by the cooperative vascular–neural networks in biological tissues, we develop a nanofiber-reinforced conductive hydrogel composed of poly(vinyl alcohol) (PVA), aramid nanofibers (ANFs), and in situ polymerized PEDOT:PSS. Through solvent- and thermally induced structural reorganization, the hydrogel evolves into a bi-continuous architecture in which the mechanical and conductive networks are intimately coupled. The tough, ANF-reinforced porous PVA mimics the vascular system, providing mechanical support and maintaining toughness, while the poly(3,4-ethylenedioxythiophene) (PEDOT) network resembles neural pathways, enabling efficient electron transport. This structural evolution enables a rare synergy of high tensile strength (10.72 MPa) and ultrahigh conductivity (452.75 S m −1 ) with excellent biocompatibility. The hydrogel maintains stable conduction under impact and complex deformation, supporting multimodal sensing from large-amplitude joint motion to low-amplitude electrophysiological signals: electrocardiographic and electromyographic. When integrated with a convolutional neural network, it achieves 99.54% accuracy in recognizing five complex hand gestures. This bioinspired strategy paves the way for developing robust and conductive hydrogels toward next-generation intelligent wearable electronics.
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