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Ammonia gas sensors based on chemically reduced graphene oxide sheets self-assembled on Au electrodes

Overview of attention for article published in Discover Nano, May 2014
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Title
Ammonia gas sensors based on chemically reduced graphene oxide sheets self-assembled on Au electrodes
Published in
Discover Nano, May 2014
DOI 10.1186/1556-276x-9-251
Pubmed ID
Authors

Yanyan Wang, Liling Zhang, Nantao Hu, Ying Wang, Yafei Zhang, Zhihua Zhou, Yanhua Liu, Su Shen, Changsi Peng

Abstract

We present a useful ammonia gas sensor based on chemically reduced graphene oxide (rGO) sheets by self-assembly technique to create conductive networks between parallel Au electrodes. Negative graphene oxide (GO) sheets with large sizes (>10 μm) can be easily electrostatically attracted onto positive Au electrodes modified with cysteamine hydrochloride in aqueous solution. The assembled GO sheets on Au electrodes can be directly reduced into rGO sheets by hydrazine or pyrrole vapor and consequently provide the sensing devices based on self-assembled rGO sheets. Preliminary results, which have been presented on the detection of ammonia (NH3) gas using this facile and scalable fabrication method for practical devices, suggest that pyrrole-vapor-reduced rGO exhibits much better (more than 2.7 times with the concentration of NH3 at 50 ppm) response to NH3 than that of rGO reduced from hydrazine vapor. Furthermore, this novel gas sensor based on rGO reduced from pyrrole shows excellent responsive repeatability to NH3. Overall, the facile electrostatic self-assembly technique in aqueous solution facilitates device fabrication, the resultant self-assembled rGO-based sensing devices, with miniature, low-cost portable characteristics and outstanding sensing performances, which can ensure potential application in gas sensing fields.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
Turkey 1 <1%
Unknown 114 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 26%
Student > Master 17 15%
Researcher 16 14%
Student > Bachelor 6 5%
Professor > Associate Professor 6 5%
Other 16 14%
Unknown 25 21%
Readers by discipline Count As %
Materials Science 29 25%
Engineering 19 16%
Chemistry 15 13%
Physics and Astronomy 12 10%
Chemical Engineering 3 3%
Other 8 7%
Unknown 31 26%