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EN
Commercial solid state gas sensors have been 8000% to NO₂ and 100% to CO. Their mutual interference have been studied at several operating temperatures. The effects of the presence of CO and NO₂ are opposite on this kind of sensors, thus when both gases are present, one effect can predominate over the other, leading to different selectivities. We use this fact to successfully detect and quantify mixtures of NO₂ and CO in air using an artificial neural network.
EN
Nanocrystalline tin dioxide has been employed to develop two types of sensor devices. Two electrical properties, resistivity and work function, increase with oxidizing gas adsorption. The first leads to the classical thin film resistive sensor. The other property is used to design a switching diode. Both devices show a ligh sensitivity and linearity under proper design and operating parameters. Typival figures are 100% resistance change and 50 mV voltage shift for 50 ppb of NO₂ in air. A theoretical model is proposed to explain the results.
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