摘要
Multi-functional cellulose-based triboelectric nanogenerators (TENGs) with sensing and energy-harvesting capabilities are emerging as promising candidates for next-generation healthcare electronics. However, insufficient output performance and device sustainability limits their further application. In this study, we developed a SnS₂-based nanocomposite with tunable surface triboelectric properties, simulated by Density Functional Theory (DFT) and characterized via Kelvin Probe Force Microscopy (KPFM). The SnS₂-based nanocomposite was then integrated into a cellulose-based TENG (C-TENG) to enhance output performance and function as a biomechanical sensing medium for human motion monitoring. A one-dimensional geometric fast data density functional transform (1-D g-fDDFT) model was also employed to improve the as-designed sensor prediction accuracy. Moreover, the C-TENG was utilized as a self-powered in vitro electrical stimulation device for wound therapy. The C-TENG not only shows excellent potential for future sustainable, self-powered healthcare sensors, but also represents a promising advancement in future wearable wound management systems.
原文 | ???core.languages.en_GB??? |
---|---|
文章編號 | 110501 |
期刊 | Nano Energy |
卷 | 134 |
DOIs | |
出版狀態 | 已出版 - 2月 2025 |