Please use this identifier to cite or link to this item: doi:10.22028/D291-37247
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Title: Modeling of the Function Principle of Semiconductor Gas Sensors for High School Students
Author(s): Höfner, Sebastian
Hirth, Michael
Kuhn, Jochen
Brück, Benjamin
Schütze, Andreas
Language: English
Title: International journal of online and biomedical engineering
Volume: 17
Issue: 03
Pages: 5-25
Publisher/Platform: Kassel University Press
Year of Publication: 2021
Free key words: Air pollution
metal oxide semiconductor gas sensor
student experiment
education
volatile organic compounds
high school
DDC notations: 620 Engineering and machine engineering
Publikation type: Journal Article
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 of the first publication: 10.3991/ijoe.v17i03.19213
URL of the first publication: https://online-journals.org/index.php/i-joe/article/view/19213
Link to this record: urn:nbn:de:bsz:291--ds-372475
hdl:20.500.11880/33763
http://dx.doi.org/10.22028/D291-37247
ISSN: 2626-8493
Date of registration: 16-Sep-2022
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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