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Titel: Siloxane treatment of metal oxide semiconductor gas sensors in temperature-cycled operation – sensitivity and selectivity
VerfasserIn: Schultealbert, Caroline
Uzun, Iklim
Baur, Tobias
Sauerwald, Tilman
Schütze, Andreas
Sprache: Englisch
Titel: Journal of Sensors and Sensor Systems
Bandnummer: 9
Heft: 2
Startseite: 283
Endseite: 292
Verlag/Plattform: Copernicus Publications
Erscheinungsjahr: 2020
DDC-Sachgruppe: 500 Naturwissenschaften
600 Technik
620 Ingenieurwissenschaften und Maschinenbau
660 Technische Chemie
Dokumenttyp: Journalartikel / Zeitschriftenartikel
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 der Erstveröffentlichung: 10.5194/jsss-9-283-2020
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-323849
hdl:20.500.11880/30168
http://dx.doi.org/10.22028/D291-32384
ISSN: 2194-8771
Datum des Eintrags: 9-Dez-2020
Bezeichnung des in Beziehung stehenden Objekts: Data sets and Supplement
In Beziehung stehendes Objekt: https://jsss.copernicus.org/articles/9/283/2020/
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Andreas Schütze
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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