Please use this identifier to cite or link to this item: doi:10.22028/D291-33666
Title: Measuring Hydrogen in Indoor Air with a Selective Metal Oxide Semiconductor Sensor
Author(s): Schultealbert, Caroline
Amann, Johannes
Baur, Tobias
Schütze, Andreas
Language: English
Title: Atmosphere
Volume: 12
Issue: 3
Publisher/Platform: MDPI
Year of Publication: 2021
Free key words: hydrogen
indoor air
human presence
metal oxide semiconductor gas sensors
indoor air quality
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: Hydrogen is a ubiquitous but often neglected gas. In analytical measurements hydrogen—as a harmless gas—often is not considered so no studies on hydrogen in indoor air can be found. For metal oxide semiconductor (MOS) gas sensors that are increasingly pushed into the application as TVOC (total volatile organic compounds) sensors, hydrogen is a severe disturbance. On the other hand, hydrogen can be an intentional choice as indicator for human presence similar to carbon dioxide. We present a field-study on hydrogen in indoor air using selective MOS sensors accompanied by an analytical reference device for hydrogen with an accuracy of 10 ppb. Selectivity is achieved by siloxane treatment combined with temperature cycled operation and training with a complex lab calibration using randomized gas mixtures, yielding an uncertainty of 40–60 ppb. The feasibility is demonstrated by release tests with several gases inside a room and by comparison to the reference device. The results show that selective MOS sensors can function as cheap and available hydrogen detectors. Fluctuations in hydrogen concentration without human presence are measured over several days to gain insight in this highly relevant parameter for indoor air quality. The results indicate that the topic needs further attention and that the usage of hydrogen as indicator for human presence might be precluded by other sources and fluctuations.
DOI of the first publication: 10.3390/atmos12030366
Link to this record: urn:nbn:de:bsz:291--ds-336664
hdl:20.500.11880/30982
http://dx.doi.org/10.22028/D291-33666
ISSN: 2073-4433
Date of registration: 30-Mar-2021
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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