Selectivity improvement of semi-conducting gas sensors by selective filter for atmospheric pollutants detection

International audience; The monitoring of atmospheric pollution using chemical gas sensors is a challenge due to the lack of selectivity of most existing devices. However, their performances can be improved using filtering films achieving the separation or the removal of some gases. This study is focused on the detection of carbon monoxide and of oxidant pollutants (nitrogen dioxide and ozone) by sensors constituted of SnO2, or phthalocyanine compounds. Two types of filters were investigated. Filters based on MnO2 powder are successful to remove ozone while preserving nitrogen dioxide in a large temperature range from ambient to 400 -C, but they partially convert carbon monoxide. The second…