Jia Qingjia, Wang Xuhao, Wang Shilin, Jiang Fuhao, Kim Se Hyun, Li Hongjiang, Diao Binxuan, Zhang Haoran, Zhao Enhao, Wang Huan, Joo Sang Woo, Cong Chenhao, Li Xinlin
Wanlian Index (Qingdao) Information Technology Co., Qingdao 266071, China.
College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China.
ACS Appl Mater Interfaces. 2025 Apr 23;17(16):24300-24309. doi: 10.1021/acsami.4c22061. Epub 2025 Apr 10.
With the accelerating advancement of health monitoring and intelligent motion detection technologies, wearable flexible sensors have emerged as indispensable tools for real-time human activity monitoring. Self-powered systems centered on triboelectric nanogenerators (TENGs), which obviate the requirement for external power sources, have garnered substantial attention. However, attaining both high electrical performance and mechanical flexibility persists as a pivotal challenge. To tackle this, we propose a groundbreaking strategy that incorporates two-dimensional (2D) graphene as a conductive template with amino-modified BaTiO nanoparticles (BaTiO-NH), a high-dielectric-constant material, to develop a high-performance flexible TENG for human motion detection. The dual role of graphene is maximized: its superior electrical conductivity facilitates the formation of microcapacitive structures, while its 2D sheet structure promotes the uniform dispersion of BaTiO-NH, mitigating agglomeration issues and maintaining mechanical integrity. The fabricated TENG exhibited remarkable performance, attaining a high power output of 0.48 W/m in single-electrode mode for energy harvesting and a peak open-circuit voltage of 380 V for wearable sensing. These augmented properties permitted precise detection of diverse human motion patterns in real-world wearable scenarios and broadened its application to precise sensing in ball sports. This study illustrates the synergistic advantages of integrating 2D conductive materials with high-dielectric nanoparticles, offering a promising strategy for developing next-generation self-powered sensors. The designed TENG possesses significant potential for energy harvesting, wearable sensing, and advanced electronic skin applications in human-machine interfaces.
随着健康监测和智能运动检测技术的加速发展，可穿戴柔性传感器已成为实时人体活动监测不可或缺的工具。以摩擦纳米发电机（TENGs）为核心的自供电系统，消除了对外部电源的需求，已引起广泛关注。然而，同时实现高电气性能和机械柔韧性仍然是一个关键挑战。为解决这一问题，我们提出了一种开创性策略，将二维（2D）石墨烯作为导电模板与高介电常数材料氨基改性钛酸钡纳米颗粒（BaTiO-NH）相结合，以开发用于人体运动检测的高性能柔性TENG。石墨烯的双重作用得到了最大化发挥：其优异的导电性促进了微电容结构的形成，而其二维片状结构促进了BaTiO-NH的均匀分散，减轻了团聚问题并保持了机械完整性。所制备的TENG表现出卓越的性能，在单电极模式下实现了0.48 W/m的高功率输出用于能量收集，以及380 V的峰值开路电压用于可穿戴传感。这些增强的性能使得在实际可穿戴场景中能够精确检测各种人体运动模式，并将其应用扩展到球类运动中的精确传感。本研究展示了将二维导电材料与高介电纳米颗粒集成的协同优势，为开发下一代自供电传感器提供了一种有前景的策略。所设计的TENG在人机界面的能量收集、可穿戴传感和先进电子皮肤应用方面具有巨大潜力。
