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A Noise Spectroscopy-Based Selective Gas Sensing with MOX Gas Sensors

Abstract : Communicated by Zoltan Gingl We propose a new method for obtaining a °uctuation-enhanced sensing (FES) signature of a gas using a single metal oxide (MOX) gas micro sensor. Starting from our model of adsorption-desorption (A-D) noise previously developed, we show theoretically that the product of frequency by the power spectrum density (PSD) of the gas sensing layer resistance °uctuations often has a maximum which is characteristic of the gas. This property was experimentally con¯rmed in the case of the detection of NO 2 and O 3 using a WO 3 sensing layer. This method could be useful for classifying gases. Furthermore, our noise measurements con¯rm our previous model showing that PSD of the A-Dnoise in MOX gas sensor is a combination of Lorentzians having a low frequency magnitude and a cut-o® frequency which depends on the nature of the detected gas.
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Submitted on : Tuesday, April 30, 2019 - 11:56:23 AM
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S. Gomri, J. Seguin, T. Contaret, T. Fiorido, Khalifa Aguir. A Noise Spectroscopy-Based Selective Gas Sensing with MOX Gas Sensors. Fluctuation and Noise Letters, 2018, 17 (02), pp.1850016. ⟨10.1142/S0219477518500165⟩. ⟨hal-02114914⟩



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