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Health and safety considerations of room occupants in enclosed spaces is crucial for building management which entails control and stringent monitoring of CO 2  levels to maintain acceptable air quality standards and improve energy efficiency. Smart building management systems equipped with portable, low-power, non-invasive CO 2  sensing techniques can predict room occupancy detection based on CO 2  levels exhaled by humans. In this work, we have demonstrated the development and proof-of-feasibility working of an electrochemical RTIL- based sensor prototype for CO 2  detection in exhaled human breath. The portability, small form factor, embedded RTIL sensing element, integrability with low-power microelectronic and IOT interfaces makes this CO 2  sensor prototype a potential application for passive room occupancy monitoring. This prototype exhibits a wide dynamic range of 400–8000 ppm, a short response time of ~10 secs, and a reset time of ~6 secs in comparison to commercial standards. The calibration response of the prototype exhibits an R 2  of 0.956. With RTIL as the sensing element, we have achieved a sensitivity of 29 pF/ppm towards CO 2  at ambient environmental conditions and a three times greater selectivity towards CO 2  in the presence of N 2  and O 2 . CO 2  detection is accomplished by quantifying the capacitance modulations arising within the electrical double layer from the RTIL- CO 2  interactions through AC- based electrochemical impedance spectroscopy and DC- based chronoamperometry.

CLIP: Carbon Dioxide testing suitable for Low power microelectronics and IOT interfaces using Room temperature Ionic Liquid Platform