School of Chemistry and Chemical Engineering, Guangxi University, Nanning, Guangxi, 530004, P. R. China.
CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, P. R. China.
Small. 2022 Sep;18(37):e2202477. doi: 10.1002/smll.202202477. Epub 2022 Aug 10.
An all-fibrous large-area (20 × 50 cm ) tailorable triboelectric nanogenerator (LT-TENG) is prepared using a one-step solution blow spinning technology, which has the advantages of easy operation, scale-up in the area, and high production efficiency. The prepared LT-TENG is composed of polyvinylidene fluoride (PVDF)/MXene (Ti C T ) nanofibers (NFs) and conductive textile. Benefiting from the fibrous materials and large-area properties, the LT-TENG possesses the merits of good tailorability, breathability, hydrophobicity, and washability. When optimized by mixing the MXene into PVDF NFs, the LT-TENG has a preferable output and sensing property, with a detection range over 16 kPa and a relatively high sensitivity of 12.33 V KPa . At maximum applied pressure, the voltage, current, and charge are 108 V, 38 µA, and 35 nC, respectively. This LT-TENG can serve as a biomechanical energy harvester when used as wearable devices with an output power density of 12.6 mW m at an external load resistance of 500 MΩ, and it also has the ability of self-powered tactile sensing for pressure mapping and slide sensing. Thus, this LT-TENG exhibits great potential prospects in wearable devices, intelligent robots, and human-machine interaction.
一种全纤维的大面积(20×50cm)可裁剪摩擦纳米发电机(LT-TENG)采用一步溶液纺丝技术制备,该技术具有操作简单、面积可扩展和生产效率高的优点。所制备的 LT-TENG 由聚偏二氟乙烯(PVDF)/MXene(Ti 3 C 2 T )纳米纤维(NFs)和导电纺织品组成。得益于纤维材料和大面积特性,LT-TENG 具有良好的可裁剪性、透气性、疏水性和耐洗性。通过将 MXene 混合到 PVDF NFs 中进行优化,LT-TENG 具有较好的输出和传感性能,检测范围超过 16kPa,相对灵敏度为 12.33V KPa。在最大应用压力下,电压、电流和电荷分别为 108V、38μA 和 35nC。当用作具有 500MΩ 外部负载电阻的可穿戴设备时,该 LT-TENG 可作为生物力学能量收集器,其输出功率密度为 12.6mW m,还具有用于压力映射和滑动感应的自供电触觉感应能力。因此,这种 LT-TENG 在可穿戴设备、智能机器人和人机交互方面具有广阔的应用前景。