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International Journal of Multimedia Computing, 2021, 2(1); doi: 10.38007/IJMC.2021.020103.

Piezoresistive Flexible Sensor Based on Microscopic Observation of Suspended Single-walled Carbon Nanotube Array

Author(s)

Cristiano Ronalle

Corresponding Author:
Cristiano Ronalle
Affiliation(s)

Ecole Polytechnique Paris, France

Abstract

With the continuous progress of science and technology, piezoresistive flexible sensors have been widely used in aerospace, energy detection, military confrontation, medical and health services and life services. In this paper, the piezoresistive flexible sensor based on a single-walled carbon nanotube array suspended under a microscope is studied. This research is mainly to combine suspended single-walled carbon nanotubes, nucleic acid molecular hybridization technology and electrochemical analysis technology to develop a piezoresistive flexible sensor with high sensitivity and good selectivity based on microscope observation. Selective detection of nanotube array fragments. Using carbon nanotubes as the tip of STM/AFM effectively improves the resolution of piezoresistive flexible sensors. Experimental data shows that when the first device array structure is adopted, the sensitivity is 0.3412 in the interval of 0-15KPa; and the sensitivity is 0.4502 in the interval of 15-30KPa. Later, as the pressure continues to increase, its sensitivity tends to zero. The experimental results show that the piezoresistive flexible sensor based on the single-walled carbon nanotube array suspended under a microscope is within a certain range. As the pressure increases, the sensitivity also increases; beyond a certain range, as the pressure increases, the pressure the sensitivity of the resistive flexible sensor tends to zero.

Keywords

Suspended Single-Walled Carbon Nanotube Array, Piezoresistive Flexible Sensor, Microscope Observation, Fuzzy Control

Cite This Paper

Cristiano Ronalle. Piezoresistive Flexible Sensor Based on Microscopic Observation of Suspended Single-walled Carbon Nanotube Array. International Journal of Multimedia Computing (2021), Vol. 2, Issue 1: 29-41. https://doi.org/10.38007/IJMC.2021.020103.

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