Highly NO2 sensitive caesium doped graphene oxide conductometric sensors

Piloto, Carlo, Notarianni, Marco, Shafiei, Mahnaz, Taran, Elena, Galpaya, Dilini, Yan, Cheng and Motta, Nunzio (2014) Highly NO2 sensitive caesium doped graphene oxide conductometric sensors. Beilstein Journal of Nanotechnology, 5 1: 1073-1081. doi:10.3762/bjnano.5.120

Author Piloto, Carlo
Notarianni, Marco
Shafiei, Mahnaz
Taran, Elena
Galpaya, Dilini
Yan, Cheng
Motta, Nunzio
Title Highly NO2 sensitive caesium doped graphene oxide conductometric sensors
Journal name Beilstein Journal of Nanotechnology   Check publisher's open access policy
ISSN 2190-4286
Publication date 2014-07-01
Year available 2014
Sub-type Article (original research)
DOI 10.3762/bjnano.5.120
Open Access Status DOI
Volume 5
Issue 1
Start page 1073
End page 1081
Total pages 9
Place of publication Frankfurt am Main, Germany
Publisher Beilstein-Institut Zur Forderung der Chemischen Wissenschaften
Language eng
Abstract Here we report on the synthesis of caesium doped graphene oxide (GO-Cs) and its application to the development of a novel NO2 gas sensor. The GO, synthesized by oxidation of graphite through chemical treatment, was doped with Cs by thermal solid-state reaction. The samples, dispersed in DI water by sonication, have been drop-casted on standard interdigitated Pt electrodes. The response of both pristine and Cs doped GO to NO2 at room temperature is studied by varying the gas concentration. The developed GO-Cs sensor shows a higher response to NO2 than the pristine GO based sensor due to the oxygen functional groups. The detection limit measured with GO-Cs sensor is ≈90 ppb.
Keyword Caesium
Drop casting
Gas sensor
Graphene oxide
Highly sensitive
Nitrogen dioxide
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID DP130102120
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
Australian Institute for Bioengineering and Nanotechnology Publications
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
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