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Titel: Modeling of the Function Principle of Semiconductor Gas Sensors for High School Students
VerfasserIn: Höfner, Sebastian
Hirth, Michael
Kuhn, Jochen
Brück, Benjamin
Schütze, Andreas
Sprache: Englisch
Titel: International journal of online and biomedical engineering
Bandnummer: 17
Heft: 03
Seiten: 5-25
Verlag/Plattform: Kassel University Press
Erscheinungsjahr: 2021
Freie Schlagwörter: Air pollution
metal oxide semiconductor gas sensor
student experiment
education
volatile organic compounds
high school
DDC-Sachgruppe: 620 Ingenieurwissenschaften und Maschinenbau
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: A wide range of pollutants cannot be perceived with human senses, which is why theuse of gas sensors is indispensable for an objective assessment of air quality. Sincemany pollutants are both odorless and colorless, there is a lack of awareness, inparticular among high school students. The project SUSmobil (funded by DBU –Deutsche Bundesstiftung Umwelt) aims to change this. In three modules on the topic ofgas sensors and air quality, the students (1) are familiarized with the functionality of ametal oxide semiconductor (MOS) gas sensor, (2) perform a sensor calibration and (3)carry out environmental measurements with calibrated sensors. Based on theseintroductory experiments, the students are encouraged to develop their ownenvironmental questions. In this contribution, we focus on the experimental andmodeling approach which explains the function principle of a MOS gas sensor in a waysuitable for high school students. This includes a qualitative and quantitativedescription of a simplified sensor model explaining the main processes on the sensorsurface. In addition, an HTML-based self-learning course is presented in which thestudents investigate the sensor behavior in the presence of different substancesdepending on the sensor temperature.
DOI der Erstveröffentlichung: 10.3991/ijoe.v17i03.19213
URL der Erstveröffentlichung: https://online-journals.org/index.php/i-joe/article/view/19213
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-372475
hdl:20.500.11880/33763
http://dx.doi.org/10.22028/D291-37247
ISSN: 2626-8493
Datum des Eintrags: 16-Sep-2022
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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