Abstract
A novel electrostatic MEMS gas sensor is demonstrated. It employs a dynamic-bifurcation detection technique. The sensor detects ethanol vapor in a binary mode, reporting ON-state (1) for concentrations above a preset threshold and OFF-state (0) for concentrations below the threshold. The sensing mechanism exploits the qualitative difference between the sensor state before and after the dynamic pull-in bifurcation. Experimental demonstration was carried out using a laser Doppler vibrometer to measure the sensor response before and after detection. The sensor was able to detect ethanol vapor concentrations as 100 ppb in dry nitrogen. A closed-form expression for the sensitivity of dynamic bifurcation sensors was derived. It captures the dependence of sensitivity on the sensor dimensions, material properties, and electrostatic field.
| Original language | English |
|---|---|
| Article number | 015005 |
| Journal | Journal of Micromechanics and Microengineering |
| Volume | 29 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2019 |
Bibliographical note
Publisher Copyright:© 2018 IOP Publishing Ltd.
Keywords
- bifurcation-based sensing
- binary detection
- electrostatic MEMS
- gas sensors
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Mechanics of Materials
- Mechanical Engineering
- Electrical and Electronic Engineering
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