4.8 Article

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

期刊

NANO LETTERS
卷 23, 期 2, 页码 597-605

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.2c04228

关键词

airflow sensor; biomimicry; laser-induced graphene; domino effect; scale-like

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The development of high-performance miniaturized and flexible airflow sensors is vital for emerging applications. In this study, laser-induced graphene (LIG) was used to fabricate high-performance, flexible airflow sensors with different structures including porous LIG, vertical LIG fiber, and suspended LIG fiber structures. Among them, the suspended LIG fiber with scale-like structure achieved the shortest response time, highest sensitivity, and the lowest detection threshold compared to state-of-the-art airflow sensors. These sensors were also demonstrated in various applications. This study will contribute to the development of next-generation waterflow, sound, and motion sensors.
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.

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