A New Gases Identifying Method With MOX Gas Sensors Using Noise Spectroscopy

Sami Gomri (1) , Thierry Contaret (2) , J. Seguin (2)

1 ENIS - École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax
2 IM2NP - Institut des Matériaux, de Microélectronique et des Nanosciences de Provence

Gas sensing techniques are often required to not only be sensitive and portable but also to be able to identify gases. In this paper, we describe and demonstrate a new gas identification approach based on noise spectroscopy. By using the model of the gas sensor noise developed in our previous work, we calculate the exact theoretical expression of the first derivative of the power spectral density of the gas sensor noise, and we show that there is a correlation between this expression and the nature of the detected gas. This theoretical result is argued by some experimental results performed on a metal oxide gas sensor exposed to various gases. The new principle holds prospects for finding powerful method for the identification of gases.

Mots clés: Index Terms-Electronic nose; gas sensor; noise; spectral analysis

Domaines: Micro et nanotechnologies/Microélectronique

Sami Gomri, Thierry Contaret, J. Seguin. A New Gases Identifying Method With MOX Gas Sensors Using Noise Spectroscopy. IEEE Sensors Journal, 2018, 18 (16), pp.6489-6496. ⟨10.1109/JSEN.2018.2850817⟩. ⟨hal-02114915⟩