Skin-interfaced self-powered pressure and strain sensors based on fish gelatin-based hydrogel for wireless wound strain and human motion detection

材料科学 摩擦电效应 标度系数 自愈水凝胶 生物相容性 可穿戴计算机 生物医学工程 纳米技术 压阻效应 压力传感器 人体运动 应变计 无线 复合材料 计算机科学 机械工程 嵌入式系统 电信 制作 高分子化学 替代医学 医学 冶金 运动(物理) 人工智能 工程类 病理
作者
Yan Ren,Qizeng Sun,Xuewen Shi,Zhaoqing Sun,Shenxing Tan,Biao Tang,Wenting Chen,Fei Liang,Haidong Yu,Wei Huang
出处
期刊:Nano Energy [Elsevier BV]
卷期号:118: 108932-108932 被引量:63
标识
DOI:10.1016/j.nanoen.2023.108932
摘要

Biomass-based hydrogels, due to their excellent biocompatibility, can behave as wearable monitoring platforms for healthcare applications and triboelectric sensing devices. However, low tissue adhesiveness, poor stretchability, and bacterial susceptibility cause them to fail to adapt to specific joints with complex movements. Herein, we report a novel biomass-based hydrogel by integrating fish gelatin into polymer networks with in-situ formation of silver nanoparticles (denoted as FG-Ag hydrogel), which achieves great stretchability (2600%), excellent sensitivity (gauge factor = 4), and strong self-adhesion simultaneously. The FG-Ag hydrogel also features a robust antibacterial activity for Escherichia coli and Staphylococcus aureus. Benefitting from these advantages, we have developed a FG-Ag hydrogel-based wearable strain sensor for diverse human-motion detections such as elbow, knee, finger, and wrist bending. Moreover, we have demonstrated an FG-Ag hydrogel-based prototype with an integrated wireless system for real-time strain monitoring on the wound sites. The FG-Ag hydrogel could significantly reduce bacterial infection in vivo and effectively promote wound healing. Additionally, the self-powered pressure sensor and the biomechanical energy harvester also have been demonstrated by the FG-Ag hydrogel based triboelectric nanogenerator (TENG). Accordingly, such FG assistance of hydrogel-based skin-interfaced electronics could provide adequately delicate biomechanical information related to the general health, which furnishes essential technical support for cost-effective, all-green, and highly precise personalized health assessment.
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