A symbiotic skin hydrogel interface enabled by flexible hydrogel network with embedded enhancement structure
J F, M Wang, Yongfeng Wang, Qian Wu, Cunkai Zhou, Yi Zhou, Changlei Ge, Guo J 等 18 位
University of Science and Technology of China Suzhou Institute of Nano-tech and Nano-bionics Nanjing Medical University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Wearable electrophysiological monitoring based on hydrogel electrodes is pivotal for decoding the body’s “electrical language”, yet fundamentally hampered by the unstable mechano-electrical interface between flexible electrodes and the skin caused by dehydration and poor breathability. Here, we demonstrate a symbiotic interface between an embedded-interfacial enhanced breathable conductive hydrogel network (BCHN) and skin for high-fidelity long-term electrophysiological monitoring. By embedding sodium chloride-containing polyvinyl alcohol hydrogel into an oxidized electrospun 3D porous polylactic acid skeleton, a BCHN with embedded enhanced interface featuring dense ion transport pathways and multiple water molecule-adsorbing sites is constructed. Upon application, the breathable (1.85 kg·m⁻²·day⁻¹, ~3× skin perspiration) flexible conductive hydrogel network with bending stiffness of ~10−10 N·m² seamlessly conforms to the microscopic landscape of the skin, forming a symbiotic BCHN-skin interface, which allows BCHN to “breathe” in harmony with the skin to preserve stable hydration and conductivity by dynamically balancing sweat capture, permeation, and evaporation, evidenced by a sustained 55 Ω impedance even at 20%RH. Integrated into a wearable monitoring system, the BCHN electrodes maintain high-quality signals (SNR > 25 dB) for over 30 days, thereby permitting the quantitative assessment and early warning of driver fatigue through long-term electroencephalography analysis. Hydrogel based electrophysiological monitoring materials are useful for sensor, though it is challenging to optimize mechanical and electronic properties. Here the authors report a breathable conductive hydrogel network for accurate long-term monitoring.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
工程Advanced Sensor and Energy Harvesting Materials
Conducting polymers and applications · Hydrogels: synthesis, properties, applications
参考文献 51
此处列出前 3 条