Design Considerations of Ultra-Low-Power Polymer Gas Microsensors Based on Noise Analysis

Current sensing solutions must combine an ultra-low energy consumption trend with high reliability. The challenge lies on a fine setting of the detection threshold with the assurance of a sufficient sensitivity. In this article, the uncertainty introduced on gas sensing applications by the inherent...

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Bibliographic Details
Main Authors: Rafael Puyol, Sylvain Pétré, Yann Danlée, Thomas Walewyns, Laurent A. Francis, Denis Flandre
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/56/1/19
Description
Summary:Current sensing solutions must combine an ultra-low energy consumption trend with high reliability. The challenge lies on a fine setting of the detection threshold with the assurance of a sufficient sensitivity. In this article, the uncertainty introduced on gas sensing applications by the inherent sensor noise is studied. A 1/f model of the electronic noise in polypyrrole-based ammonia (NH<sub>3</sub>) sensors is presented and used to estimate the intrinsic signal-to-noise ratio (SNR), giving an effective precision of 10.7 bits, i.e., down to 31.4 ppb in terms of NH<sub>3</sub> concentration. No significant improvement in SNR is achieved by increasing the bias voltage and hence the power consumption.
ISSN:2504-3900