Home // ALLSENSORS 2018, The Third International Conference on Advances in Sensors, Actuators, Metering and Sensing // View article
Authors:
Aymen Sendi
Grégory Besnard
Philippe Menini
Chaabane Talhi
Frédéric Blanc
Bernard Franc
Myrtil Kahn
Katia Fajerwerg
Pierre Fau
Keywords: NO2; CuO nanoparticles; temperature modulation; gas sensor; selectivity.
Abstract:
Nitrogen dioxide (NO2), a toxic oxidizing gas, is considered among the main pollutants found in atmosphere and indoor air as well. Since long-term or short-term exposure to this gas is deleterious for human health, its detection is an urgent need that requires the development of efficient and cost effective methods and techniques. In this context, copper oxide (CuO) is a good candidate that is sensitive and selective for NO2 at sub-ppm concentrations. In this work, CuO nanoparticles have been deposited by inkjet printing technology on a micro hotplate that can be operated up to 500°C at low power consumption (55 mW). The optimum detection capacity is obtained thanks to a temperature modulation,(two -consecutive temperature steps from 100°C to 500°C), where the sensing resistance is measured. Thanks to this operating mode, we report in this study a very simple method for data processing and exploitation in order to obtain a good selectivity for the nitrogen dioxide over few interferent gases. Only four parameters from the sensor response allow us to make an efficient discrimination between individual or mixed gases in humid atmosphere.
Pages: 21 to 25
Copyright: Copyright (c) IARIA, 2018
Publication date: March 25, 2018
Published in: conference
ISSN: 2519-836X
ISBN: 978-1-61208-621-7
Location: Rome, Italy
Dates: from March 25, 2018 to March 29, 2018