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受生物启发的悬浮石墨烯纤维实现超灵敏、快速响应、定向气流传感

Ultrasensitive, Fast-Responsive, Directional Airflow Sensing by Bioinspired Suspended Graphene Fibers.

作者信息

Huang Libei, Liu Yong, Li Geng, Song Yun, Su Jianjun, Cheng Le, Guo Weihua, Zhao Ganggang, Shen Hanchen, Yan Zheng, Tang Ben Zhong, Ye Ruquan

机构信息

Department of Chemistry and State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong 999077, China.

Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, Missouri 65211, United States.

出版信息

Nano Lett. 2023 Jan 25;23(2):597-605. doi: 10.1021/acs.nanolett.2c04228. Epub 2023 Jan 9.

Abstract

The development of high-performance miniaturized and flexible airflow sensors is essential to meet the need of emerging applications. Graphene-based airflow sensors are hampered by the sluggish response and recovery speed and low sensitivity. Here we employ laser-induced graphene (LIG) with poststructural biomimicry for fabricating high-performance, flexible airflow sensors, including cotton-like porous LIG, caterpillar fluff-like vertical LIG fiber, and Lepidoptera scale-like suspended LIG fiber (SLIGF) structures. The structural engineering changes the deformation behavior of LIGs under stress, among which the synchronous propagation of the scale-like structure of SLIGF is the most conducive to airflow sensing. The SLIGF achieves the shortest average response time of 0.5 s, the highest sensitivity of 0.11 s/m, and a record-low detection threshold of 0.0023 m/s, benchmarked against the state-of-the-art airflow sensors. Furthermore, we showcase the SLIGF airflow sensors in weather forecasting, health, and communications applications. Our study will help develop next-generation waterflow, sound, and motion sensors.

摘要

开发高性能的小型化柔性气流传感器对于满足新兴应用的需求至关重要。基于石墨烯的气流传感器存在响应和恢复速度迟缓以及灵敏度低的问题。在此,我们采用具有后结构仿生的激光诱导石墨烯(LIG)来制造高性能的柔性气流传感器,包括棉状多孔LIG、毛虫绒毛状垂直LIG纤维以及鳞翅目鳞片状悬浮LIG纤维(SLIGF)结构。结构工程改变了LIG在应力作用下的变形行为,其中SLIGF的鳞片状结构同步传播最有利于气流传感。与最先进的气流传感器相比,SLIGF实现了最短的平均响应时间0.5秒、最高灵敏度0.11 s/m以及创纪录的低检测阈值0.0023 m/s。此外,我们展示了SLIGF气流传感器在天气预报、健康和通信应用中的情况。我们的研究将有助于开发下一代水流、声音和运动传感器。

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