Rubber Technology Centre, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
School of Nano Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Small. 2024 Nov;20(46):e2404771. doi: 10.1002/smll.202404771. Epub 2024 Aug 7.
Triboelectric nanogenerators (TENG) are promising alternatives for clean energy harvesting. However, the material utilization in the development of TENG relies majorly on polymers derived from non-renewable resources. Therefore, minimizing the carbon footprint associated with such TENG development demands a shift toward usage of sustainable materials. This study pioneers using natural rubber (NR) as a sustainable alternative in TENG development. Infusing graphene in NR, its dielectric constant and tribonegativity are optimized, yielding a remarkable enhancement. The optimized sample exhibits a dielectric constant of 411 (at 10Hz) and a contact potential difference (CPD) value of 1.85 V. In contrast, the pristine NR sample showed values of 6 and 3.06 V for the dielectric constant and CPD. Simulation and experimental studies fine-tune the TENG's performance, demonstrating excellent agreement between theoretical predictions and practical studies. Sensors developed via stencil printing technique possess a remarkably low layer thickness of 270 µm, and boast a power density of 420 mW m, a staggering 250% increase over conventional NR. Moreover, the material is pressure sensitive, enabling precise real-time human motion detection, including finger contact, finger bending, neck bending, and arm bending. This versatile sensor offers wireless monitoring, empowering healthcare monitoring based on the Internet of Things.
摩擦纳米发电机(TENG)是清洁能源收集的有前途的替代品。然而,TENG 开发中材料的利用主要依赖于不可再生资源衍生的聚合物。因此,要减少与 TENG 开发相关的碳足迹,就需要转向使用可持续材料。本研究率先使用天然橡胶(NR)作为 TENG 开发中的可持续替代品。在 NR 中注入石墨烯,优化其介电常数和摩擦负电性,从而实现显著增强。优化后的样品表现出 411 的介电常数(在 10Hz 时)和 1.85 V 的接触电位差(CPD)值。相比之下,原始 NR 样品的介电常数和 CPD 值分别为 6 和 3.06 V。通过仿真和实验研究对 TENG 的性能进行了微调,理论预测和实际研究之间具有极好的一致性。通过模板印刷技术开发的传感器具有非常低的 270 µm 层厚度,功率密度为 420 mW m,比传统 NR 增加了 250%。此外,该材料具有压力敏感性,能够实现精确的实时人体运动检测,包括手指接触、手指弯曲、颈部弯曲和手臂弯曲。这种多功能传感器提供无线监测,为基于物联网的医疗保健监测提供支持。