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Titel: Low-cost chemical gas sensors for selective formaldehyde quantification at ppb-level in the field
VerfasserIn: Bastuck, Manuel
Schütze, Andreas
Puglisi, Donatella
Möller, Peter
Lloyd Spetz, Anita
Andersson, Mike
Reimringer, Wolfhard
Sprache: Englisch
Titel: AMA conferences 2017 : Nuremberg Exhibition Centre, Germany, 30.5.-1.6.2017 : proceedings : SENSOR 2017, 18th International Conference on Sensors and Measurement Technology/IRS2 2017, 15th International Conference on Infrared Sensors & Systems
Seiten: 702-707
Verlag/Plattform: AMA Service GmbH
Erscheinungsjahr: 2017
Erscheinungsort: Wunstorf
Konferenzort: Nürnberg, Germany
Freie Schlagwörter: SiC-FET
multivariate data processing
indoor air quality
VOC
sick building syndrome
DDC-Sachgruppe: 670 Industrielle und handwerkliche Fertigung
Dokumenttyp: Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag)
Abstract: Data from a silicon carbide based field-effect transistor were recorded over a period of nine days in a ventilated school room. For enhanced sensitivity and selectivity especially to formaldehyde, porous iridium on pulsed laser deposited tungsten trioxide was used as sensitive layer, in combination with temperature cycled operation and subsequent multivariate data processing techniques. The sensor signal was compared to reference measurements for formaldehyde concentration, CO2 concentration, temperature, and relative humidity. The results show a distinct pattern for the reference formaldehyde concentration, arising from the day/night cycle. Taking this into account, the projections of both principal component analysis and partial least squares regression lead to almost the same result concerning correlation to the reference. The sensor shows cross-sensitivity to an unidentified component of human activity, presumably breath, and, possibly, to other compounds appearing together with formaldehyde in indoor air. Nevertheless, the sensor is able to detect and partially quantify formaldehyde below 40 ppb with a correlation to the reference of 0.48 and negligible interference from ambient temperature or relative humidity.
DOI der Erstveröffentlichung: 10.5162/sensor2017/P5.4
URL der Erstveröffentlichung: https://www.ama-science.org/proceedings/details/2685
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-376787
hdl:20.500.11880/34088
http://dx.doi.org/10.22028/D291-37678
ISBN: 978-3-9816876-4-4
Datum des Eintrags: 21-Okt-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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