Please use this identifier to cite or link to this item: doi:10.22028/D291-32384
Title: Siloxane treatment of metal oxide semiconductor gas sensors in temperature-cycled operation – sensitivity and selectivity
Author(s): Schultealbert, Caroline
Uzun, Iklim
Baur, Tobias
Sauerwald, Tilman
Schütze, Andreas
Language: English
Title: Journal of Sensors and Sensor Systems
Volume: 9
Issue: 2
Startpage: 283
Endpage: 292
Publisher/Platform: Copernicus Publications
Year of Publication: 2020
DDC notations: 500 Science
600 Technology
620 Engineering and machine engineering
660 Chemical engineering
Publikation type: Journal Article
Abstract: The impact of a hexamethyldisiloxane (HMDSO) treatment on the response of doped SnO2 sensors is investigated for acetone, carbon monoxide and hydrogen. The sensor was operated in temperature cycles based on the DSR concept (differential surface reduction). According to this concept, the rate constants for the reduction and oxidation of the surface after fast temperature changes can be evaluated and used for quantification of reducing gases as well as quantification and compensation of sensor poisoning by siloxanes, which is shown in this work. Increasing HMDSO exposure reduces the rate constants and therefore the sensitivity of the sensor more and more for all processes. On the other hand, while the rate constants for acetone and carbon monoxide are reduced nearly to zero already for short treatments, the hydrogen sensitivity remains fairly stable, which greatly increases the selectivity. During repeated HMDSO treatment the quasistatic sensitivity, i.e. equilibrium sensitivity at one point during the temperature cycle, rises at first for all gases but then drops rapidly for acetone and carbon monoxide, which can also be explained by reduced rate constants for oxygen chemisorption on the sensor surface when considering the generation of surface charge.
DOI of the first publication: 10.5194/jsss-9-283-2020
Link to this record: urn:nbn:de:bsz:291--ds-323849
hdl:20.500.11880/30168
http://dx.doi.org/10.22028/D291-32384
ISSN: 2194-8771
Date of registration: 9-Dec-2020
Description of the related object: Data sets and Supplement
Related object: https://jsss.copernicus.org/articles/9/283/2020/
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Andreas Schütze
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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