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A Breathable, Sensitive and Wearable Piezoresistive Sensor Based on Hierarchical Micro-Porous PU@CNT Films for Long-term Health Monitoring
Composites Science and Technology ( IF 9.1 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.compscitech.2020.108419
Yin He , Liduan Zhao , Jianglu Zhang , Liyan Liu , Hao Liu , Li Liu

Abstract Creating highly sensitive and comfortable flexible sensors remain a key challenge in the development of electronic-skin. A breathable, sensitive and long-term wearable piezoresistive sensor based on hierarchical micro-porous PU@CNT films and a single-sided electrode were prepared by simple and effective methods. Distilled water is used as a non-solvent to induce the separation of films polyurethane (PU) to create the hierarchical porous structures. The micro-computed tomography is used to quantitatively analyze the 3D structure of the porous films with different PU concentration, which is, a small pore volume of less than 50 μm3 occupy the majority, the porosities are from 64.25% to 40.27%, and the surface areas are of 5.6 × 106 to 12.0 × 106μm2. Such micro-porous structures performs the air and moisture permeability of the PU@CNT films and the sensors which are more than 8 times that of non-porous film, and effectively improves the sensitivity of the sensors to 51.53 kPa−1. The hysteresis error of the porous PU@CNT sensor which possesses a higher specific surface area and lower porosity is optimized by 67.8% and it has high stability (>8000 cycles). Finally, the sensors were successfully to detecting article pulse waves, throat and finger movements, and spatially resolved pressure.

中文翻译:

基于分层微孔 PU@CNT 薄膜的透气、灵敏、可穿戴压阻传感器,用于长期健康监测

摘要 创建高灵敏度和舒适的柔性传感器仍然是电子皮肤发展的关键挑战。通过简单有效的方法制备了一种基于分层微孔PU@CNT薄膜和单面电极的透气、灵敏和长期可穿戴压阻传感器。蒸馏水用作非溶剂来诱导膜聚氨酯 (PU) 的分离,从而形成分层多孔结构。显微计算机断层扫描用于定量分析不同 PU 浓度的多孔薄膜的 3D 结构,即小于 50 μm3 的小孔体积占多数,孔隙率为 64.25% 至 40.27%,而表面积为 5.6 × 106 至 12.0 × 106μm2。这种微孔结构使PU@CNT薄膜和传感器的透气性和透湿性是无孔薄膜的8倍以上,有效地将传感器的灵敏度提高到51.53 kPa-1。具有更高比表面积和更低孔隙率的多孔 PU@CNT 传感器的滞后误差优化了 67.8%,并且具有高稳定性(>8000 次循环)。最后,传感器成功地检测到物品脉搏波、喉咙和手指运动以及空间分辨压力。8000 次循环)。最后,传感器成功地检测到物品脉搏波、喉咙和手指运动以及空间分辨压力。8000 次循环)。最后,传感器成功地检测到物品脉搏波、喉咙和手指运动以及空间分辨压力。
更新日期:2020-11-01
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