纤维素基摩擦纳米发电机的制备及其在人机交互与能源收集中的应用研究

杨晶晶; 杨斌

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纤维素基摩擦纳米发电机的制备及其在人机交互与能源收集中的应用研究

Research on the Preparation of Cellulose-based Triboelectric Nanogenerators and Their Applications in Human-machine Interaction and Energy Harvesting

收稿日期：2025-01-13

DOI：10.11980/j.issn.0254-508X.2025.04.004

关键词: 纤维素滤纸能量收集人机交互摩擦纳米发电机

Key Words:cellulose filter paper energy harvesting human-machine interaction triboelectric nanogenerator

基金项目:

作者	单位	邮编
杨晶晶^*	广东理工学院智能制造学院，广东肇庆，526100	526100
杨斌

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摘要:本研究基于纤维素滤纸的全绿色摩擦纳米发电机，通过可再生基材与可回收功能层的闭环生态设计了，突破了传统器件环境负荷瓶颈。结果表明，采用分层复合架构：聚偏二氟乙烯修饰的纤维素滤纸构成高效摩擦层，铜纳米线网格化纤维素基材形成柔性电极，协同作用实现198 V输出电压与1 038.6 mW/m²输出功率。该器件成功驱动了湿度计、发光二极管和计算器，并融合机器学习算法构建自供能人机界面，通过识别手指运动实现了对网络游戏的精确控制。

Abstract:This study presented a fully eco-degradable triboelectric nanogenerator （TENG） based on cellulose filter paper， which featured a closed-loop ecological design that integrated renewable substrates with recyclable functional layers to surpass the environmental limitations of conventional devices. The hierarchical composite architecture consisted of polyvinylidene fluoride （PVDF）-modified cellulose paper as the high-efficiency triboelectric layer and copper nanowire-embedded cellulose substrate as the flexible electrode， synergistically achieving an outstanding output voltage of 198 V and power density of 1 038.6 mW/m². The device successfully droved humidity meters， light-emitting diodes （LEDs）， and calculators. Furthermore， by integrating machine learning algorithms， a self-powered human-machine interface was constructed. Through the recognition of finger movements， it achieved precise control over online gaming.

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