A New Fluctuation-Enhanced Sensing-Based Feature for Gases Identification Using MOX Gas Sensors

In this paper, we present a new gases identification feature based on noise spectroscopy. Using our previous model developed in our previous work, in which we have expressed the power spectral density (PSD) of the gas sensor noise in metal oxide (MOX) gas sensors, we calculate the exact theoretical expression of the integral of the PSD of the gas sensor noise. The obtained expression shows that there is a correlation between the integral of the PSD of the gas sensor noise and the nature of the detected gas. After comparing the obtained theoretical results with some experimental results performed on MOX gas sensors exposed to various gases, we conclude that the integral of the PSD of the gas sensor noise could be used as gases identifying parameter. The new feature holds prospects for finding powerful method for gases identification.