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doi:10.22028/D291-37247
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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