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Thermally reduced kaolin-graphene oxide nanocomposites for gas sensing
Mid Sweden University, Faculty of Science, Technology and Media, Department of Natural Sciences.ORCID iD: 0000-0003-2873-7875
Mid Sweden University, Faculty of Science, Technology and Media, Department of Natural Sciences.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Natural Sciences.ORCID iD: 0000-0001-9137-3440
Mid Sweden University, Faculty of Science, Technology and Media, Department of Natural Sciences.
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2015 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 5, Art. no. 7676- p.Article in journal (Refereed) Published
Abstract [en]

Highly sensitive graphene-based gas sensors can be made using large-area single layer graphene, but the cost of large-area pure graphene is high, making the simpler reduced graphene oxide (rGO) an attractive alternative. To use rGO for gas sensing, however, require a high active surface area and slightly different approach is needed. Here, we report on a simple method to produce kaolin-graphene oxide (GO) nanocomposites and an application of this nanocomposite as a gas sensor. The nanocomposite was made by binding the GO flakes to kaolin with the help of 3-Aminopropyltriethoxysilane (APTES). The GO flakes in the nanocomposite were contacting neighboring GO flakes as observed by electron microscopy. After thermal annealing, the nanocomposite become conductive as showed by sheet resistance measurements. Based on the conductance changes of the nanocomposite films, electrical gas sensing devices were made for detecting NH3 and HNO3. These devices had a higher sensitivity than thermally annealed multilayer GO films. This kaolin-GO nanocomposite might be useful in applications that require a low-cost material with large conductive surface area including the demonstrated gas sensors.

Place, publisher, year, edition, pages
2015. Vol. 5, Art. no. 7676- p.
National Category
Condensed Matter Physics
Identifiers
URN: urn:nbn:se:miun:diva-24258DOI: 10.1038/srep07676ISI: 000347804300009Scopus ID: 2-s2.0-84938989331OAI: oai:DiVA.org:miun-24258DiVA: diva2:784821
Funder
Knowledge Foundation
Available from: 2015-01-30 Created: 2015-01-30 Last updated: 2016-10-31Bibliographically approved

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