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The detection of CO2, based on metal oxide nanoparticles has a lot of potential due to their higher surface area and easy implementation in microsystem devices. In this work, we investigated semiconducting copper oxide nanoparticles (CuO-NPs) with respect to different conditions affecting the stability and sensitivity of the CO2 response. The adsorption induced changes have been recorded through work function (WF) based alterations using Kelvin probe measurements. It is shown that an optimized CO2-sensing behavior for CuO-NPs by using combined effect of humidity and temperature is achievable and can play a pivotal role towards the development of low cost CO2 gas sensors

Optimization Study for Work Function Based CO 2 Sensing Using CuO-nanoparticles in Respect to Humidity and Temperature