Self‐Powered Triboelectric Sensor for Real‐Time, Intelligent Occlusal Force Monitoring

作者：Yan Du, Jingkai Song, Houfang Liu, Zhiwei Zhang, Bing Han, Xuliang Deng, Tian‐Ling Ren, Zhong Wang, Di Wei · 发表于：Advanced Functional Materials · 年份：2025 · DOI：10.1002/adfm.202519646 · 被引用次数：6 · 研究领域：Advanced Sensor and Energy Harvesting Materials、Temporomandibular Joint Disorders、Muscle activation and electromyography studies

Abstract Occlusal force is a critical biomechanical parameter in orthodontics, implant restoration, and temporomandibular joint evaluation. However, its multidimensional dynamics and the complex intraoral environment pose significant challenges to existing sensing technologies, which often lack the capacity for real‐time, high‐resolution, and non‐invasive monitoring. Here, a self‐powered triboelectric sensor (STS) is introduced for autonomous, 3D occlusal force monitoring. The device features a multilayer soft‐contact architecture comprising a Poly(vinylidene fluoride‐co‐hexafluoropropylene (PVDF‐HFP)/Barium titanate (BaTiO 3 ) composite dielectric layer, flexible polyurethane (PU) foam, and carbon–silicone composite electrodes, enabling conformal integration and precise biomechanical signal acquisition. This configuration enables fully self‐powered, real‐time acquisition of occlusal force magnitude, frequency, and spatial distribution. The conformal soft interface facilitates adaptive sensing of multidimensional force vectors across complex intraoral geometries, allowing high‐fidelity reconstruction of dynamic occlusal mechanics. An optimized multichannel architecture improves spatial resolution and surface conformity, enabling accurate tracking of contact trajectories and force distributions during occlusion. Coupled with artificial intelligence, the system performs real‐time signal analysis and abnormal pattern recognition, achieving classification accuracies of 98.75% for...