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Proceedings Year : 2019

Noise spectroscopy-based gas identifying methods to improve the selectivity of MOX gas sensors

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Abstract

Air quality monitoring and analysis have become a major issue in recent years. Metal oxide gas sensors are very sensitive due to high variability of its resistivity in presence of gas. However, they are not selective. It is not possible to determinate the both gas nature and concentration using sensors resistance variation. Noise spectroscopy is one of solution to improve the selectivity. In this paper, we apply the recent developed noise spectroscopy-based gas identifying methods in order to show the possibility of each method to discriminate the nature of different gases. Noise measurements have been carried out on metal-oxide gas micro-sensors with tungsten trioxide (WO3) sensing layer, under several NO2, O3 and CO concentrations in dry air. The obtained results have demonstrated that a selective sensing of the studied gases is possible using a single MOX gas micro-sensor.
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Dates and versions

hal-03941752 , version 1 (16-01-2023)

Identifiers

  • HAL Id : hal-03941752 , version 1

Cite

T. Contaret, Nicolas Morati, Tomas Fiorido, J. -L. Seguin, Marc Bendahan. Noise spectroscopy-based gas identifying methods to improve the selectivity of MOX gas sensors. 2019. ⟨hal-03941752⟩
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