Ultrastretchable, Self-Healing Conductive Hydrogel-Based Triboelectric Nanogenerators for Human–Computer Interaction

摩擦电效应 材料科学 自愈水凝胶 标度系数 电子皮肤 自愈 纳米技术 计算机科学 复合材料 医学 替代医学 病理 制作 高分子化学
作者
Hao Zhang,Dongzhi Zhang,Zihu Wang,Guangshuai Xi,Ruiyuan Mao,Yanhua Ma,Dongyue Wang,Mingcong Tang,Zhenyuan Xu,Huixin Luan
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:15 (4): 5128-5138 被引量:170
标识
DOI:10.1021/acsami.2c17904
摘要

The rapid development of wearable electronic devices and virtual reality technology has revived interest in flexible sensing and control devices. Here, we report an ionic hydrogel (PTSM) prepared from polypropylene amine (PAM), tannic acid (TA), sodium alginate (SA), and MXene. Based on the multiple weak H-bonds, this hydrogel exhibits excellent stretchability (strain >4600%), adhesion, and self-healing. The introduction of MXene nanosheets endows the hydrogel sensor with a high gauge factor (GF) of 6.6. Meanwhile, it also enables triboelectric nanogenerators (PTSM-TENGs) fabricated from silicone rubber-encapsulated hydrogels to have excellent energy harvesting efficiency, with an instantaneous output power density of 54.24 mW/m2. We build a glove-based human-computer interaction (HMI) system using PTSM-TENGs. The multidimensional signal features of PTSM-TENG are extracted and analyzed by the HMI system, and the functions of gesture visualization and robot hand control are realized. In addition, triboelectric signals can be used for object recognition with the help of machine learning techniques. The glove based on PTSM-TENG achieves the classification and recognition of five objects through contact, with an accuracy rate of 98.7%. Therefore, strain sensors and triboelectric nanogenerators based on hydrogels have broad application prospects in man-machine interface, intelligent recognition systems, auxiliary control systems, and other fields due to their excellent stretchable and high self-healing performance.
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