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  • 标题:High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network
  • 本地全文:下载
  • 作者:Fazel Yavari ; Zongping Chen ; Abhay V. Thomas
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2011
  • 卷号:1
  • 期号:1
  • DOI:10.1038/srep00166
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:

    Nanostructures are known to be exquisitely sensitive to the chemical environment and offer ultra-high sensitivity for gas-sensing. However, the fabrication and operation of devices that use individual nanostructures for sensing is complex, expensive and suffers from poor reliability due to contamination and large variability from sample-to-sample. By contrast, conventional solid-state and conducting-polymer sensors offer excellent reliability but suffer from reduced sensitivity at room-temperature. Here we report a macro graphene foam-like three-dimensional network which combines the best of both worlds. The walls of the foam are comprised of few-layer graphene sheets resulting in high sensitivity; we demonstrate parts-per-million level detection of NH3 and NO2 in air at room-temperature. Further, the foam is a mechanically robust and flexible macro-scale network that is easy to contact (without Lithography) and can rival the durability and affordability of traditional sensors. Moreover, Joule-heating expels chemisorbed molecules from the foam's surface leading to fully-reversible and low-power operation.

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