Liu Shuzhe, Yi Jixin, Jiang Guyu, Hou Jiaxun, Yang Yin, Li Guangli, Sun Xuhui, Wen Zhen
Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, Suzhou 215123, China.
Micromachines (Basel). 2025 Jun 29;16(7):765. doi: 10.3390/mi16070765.
This review systematically examines recent advances in self-powered wireless sensing technologies based on triboelectric nanogenerators (TENGs), focusing on innovative methods that leverage breakdown discharge effects to achieve high-precision and long-distance signal transmission. These methods offer novel technical pathways and theoretical frameworks for next-generation wireless sensing systems. To address the core limitations of conventional wireless sensors, such as a restricted transmission range, high power consumption, and suboptimal integration, this analysis elucidates the mechanism of the generation of high-frequency electromagnetic waves through localized electric field ionization induced by breakdown discharge. Key research directions are synthesized to enhance TENG-based sensing capabilities, including novel device architectures, the optimization of RLC circuit models, the integration of machine learning algorithms, and power management strategies. While current breakdown discharge sensors face challenges such as energy dissipation, multimodal coupling complexity, and signal interpretation barriers, future breakthroughs in material engineering and structural design are anticipated to drive advancements in efficiency, miniaturization, and intelligent functionality in this field.
本综述系统地研究了基于摩擦纳米发电机(TENG)的自供电无线传感技术的最新进展,重点关注利用击穿放电效应实现高精度和长距离信号传输的创新方法。这些方法为下一代无线传感系统提供了新颖的技术途径和理论框架。为了解决传统无线传感器的核心局限性,如传输范围受限、高功耗和集成度欠佳等问题,本分析阐明了通过击穿放电引起的局部电场电离产生高频电磁波的机制。综合了关键研究方向以增强基于TENG的传感能力,包括新颖的器件架构、RLC电路模型的优化、机器学习算法的集成以及电源管理策略。虽然目前的击穿放电传感器面临能量耗散、多模态耦合复杂性和信号解释障碍等挑战,但预计材料工程和结构设计方面的未来突破将推动该领域在效率、小型化和智能功能方面的进步。