Luo Jin, Ji Nan, Zhang Weiwei, Ge Pei, Liu Yixuan, Sun Jun, Wang Jianjun, Zhuo Qiqi, Qin Chuanxiang, Dai Lixing
College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, P. R. China.
College of Material Science & Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, P. R. China.
Mater Horiz. 2022 May 10;9(5):1503-1512. doi: 10.1039/d2mh00064d.
Recently, airflow sensors have attracted great attention due to their unique characteristics. However, the preparation of high-performance airflow sensors extraordinarily simple, controllable and cost-effective methods remains a great challenge. Herein, inspired by the fluff system of the spider, an ultrasensitive fluffy-like airflow sensor with carbon fibers (CFs) uniformly and firmly planted on the surface of a polyvinyl alcohol (PVA) fibrous substrate has been easily fabricated using electrostatic flocking technology. The fluffy-like structure endows the airflow sensor with superior properties including ultra-sensitivity, fast response time (0.103 s), low airflow velocity detection limit (0.068 m s), ultra-sensitive detection in a wide airflow range (0.068-16 m s), and multi-directional consistent response to airflow. This sensor can be used to accurately recognize sound waves and voiceless speech and detect human and object motions in different postures and speeds. This work presents insights into designing and preparing high-performance airflow sensors on a large-scale for sound recognition, motion monitoring, and assisting the disabled.
最近，气流传感器因其独特的特性而备受关注。然而，采用极其简单、可控且经济高效的方法制备高性能气流传感器仍然是一个巨大的挑战。在此，受蜘蛛绒毛系统的启发，利用静电植绒技术轻松制备了一种超灵敏的类绒毛气流传感器，其碳纤维（CFs）均匀且牢固地植入聚乙烯醇（PVA）纤维基材表面。这种类绒毛结构赋予气流传感器卓越的性能，包括超高灵敏度、快速响应时间（0.103秒）、低气流速度检测极限（0.068米/秒）、在宽气流范围内的超灵敏检测（0.068 - 16米/秒）以及对气流的多方向一致响应。该传感器可用于准确识别声波和无声语音，并检测不同姿势和速度下的人体和物体运动。这项工作为大规模设计和制备用于声音识别、运动监测及辅助残疾人的高性能气流传感器提供了思路。
