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Performance tuning of gas sensors based on epitaxial graphene on silicon carbide
Linköping University, Department of Physics, Chemistry and Biology, Sensor and Actuator Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Physics, Chemistry and Biology, Applied Sensor Science. Linköping University, Faculty of Science & Engineering.
Not Found:Linkoping Univ, IFM, Appl Sensor Sci Unit, Linkoping, Sweden.
Linköping University, Department of Physics, Chemistry and Biology, Plasma and Coating Physics. Linköping University, Faculty of Science & Engineering.
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2018 (English)In: Materials & design, ISSN 0264-1275, E-ISSN 1873-4197, Vol. 153, p. 153-158Article in journal (Refereed) Published
Abstract [en]

In this study, we investigated means of performance enhancement in sensors based on epitaxial graphene on silicon carbide (SiC). Epitaxially grown graphene on SiC substrates were successfully decorated with metal oxide nanoparticles such as TiO2 and Fe3O4 using hollow cathode pulsed plasma sputtering. Atomic Force Microscopy and Raman data verified that no damage was added to the graphene surface. It could be shown that it was easily possible to detect benzene, which is one of the most dangerous volatile organic compounds, with the Fe3O4 decorated graphene sensor down to an ultra-low concentration of 5 ppb with a signal to noise ratio of 35 dB. Moreover, upon illumination with a UV light LED (265 nm) of the TiO2 decorated graphene sensor, the sensitivity towards a change of oxygen could be enhanced such that a clear sensor response could be seen which is a significant improvement over dark conditions, where almost no response occurred. As the last enhancement, the time derivative sensor signal was introduced for the sensor data evaluation, testing the response towards a change of oxygen. This sensor signal evaluation approach can be used to decrease the response time of the sensor by at least one order of magnitude. (C) 2018 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2018. Vol. 153, p. 153-158
Keywords [en]
Epitaxial graphene; Metal oxide nanoparticles; Gas sensor; UV light; Derivative sensor signal; Benzene
National Category
Materials Chemistry
Identifiers
URN: urn:nbn:se:liu:diva-149676DOI: 10.1016/j.matdes.2018.04.087ISI: 000436433600016OAI: oai:DiVA.org:liu-149676DiVA, id: diva2:1235317
Note

Funding Agencies|Swedish Foundation for Strategic research (SSF) [GMT14-0077]; Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linkoping University [2009-00971]; Centre in Nano science and technology (CeNano)

Available from: 2018-07-25 Created: 2018-07-25 Last updated: 2018-10-22

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Rodner, MariusBahonjic, JasnaGunnarsson, RickardEkeroth, SebastianHelmersson, UlfIvanov, Ivan GueorguievYakimova, RositsaEriksson, Jens
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