Using Advanced 2D Materials to Closely Mimic Vestibular Hair Cell Sensors

S. A. Moshizi, Shohreh Azadi, Andrew Belford, Shuying Wu, Z. J. Han, M. Asadnia
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引用次数: 2

Abstract

In this work, an ultra-sensitive flow sensor is presented, consisting of vertically grown graphene nanosheets (VGNs) with a mazelike structure and an elastomer (polydimethylsiloxane, PDMS). The VGNs/PDMS piezoresistive flow sensor exhibits great linearity, low-velocity detection threshold (1.127 mm/s) and super-high sensitivity under exposure to stationary flow (0.127 kΩ/(mL/min)). The proposed flow sensor, analogous to hair cells in the vestibular system, was embedded in a 3D-printed lateral semicircular canal, and the sensing performance was studied in response to various physiological movements. This work paves the way for development of physical sensors using novel two-dimensional (2D) materials for various biomedical applications.
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使用先进的二维材料紧密模拟前庭毛细胞传感器
在这项工作中,提出了一种超灵敏的流量传感器,由具有迷宫结构的垂直生长的石墨烯纳米片(VGNs)和弹性体(聚二甲基硅氧烷,PDMS)组成。VGNs/PDMS压阻式流量传感器具有良好的线性度,低速检测阈值(1.127 mm/s)和在固定流量下的超高灵敏度(0.127 kΩ/(mL/min))。所提出的流量传感器类似于前庭系统中的毛细胞,被嵌入3d打印的外侧半圆形管中,并研究了对各种生理运动的响应性能。这项工作为使用新型二维(2D)材料开发各种生物医学应用的物理传感器铺平了道路。
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