Facile Synthesis of 3D Graphene Flowers for Ultrasensitive and Highly Reversible Gas Sensing

Jin Wu, Shuanglong Feng, Xingzhan Wei, Jun Shen, Wenqiang Lu, Haofei Shi, Kai Tao, Shirong Lu, Tai Sun, Leyong Yu, Chunlei Du, Jianmin Miao, Leslie K. Norford

Research output: Contribution to journalArticlepeer-review

158 Scopus citations

Abstract

Fabrication of nanostructured graphene (Gr) for gas sensing applications has become increasingly attractive. For the first time, 3D graphene flowers (GF) cluster patterns are grown directly on an Ni foam substrate by inexpensive homebuilt microwave plasma-enhanced chemical vapor deposition (MPCVD) using the gas mixture H2/C2H4O2@Ar as a precursor. The interim morphologies of the synthesized GF are investigated and the growth mechanism of the GF film is proposed. The GF are decomposed to few-layer Gr sheets by ultrasonication in ethanol. For the first time, MPCVD-synthesized Gr is exploited to fabricate a gas sensor that exhibits an ultrahigh sensitivity of 133.2 ppm−1 to NO2. Outstanding sensor responses of 1411% and 101% to 10 ppm and 200 ppb NO2, respectively, are achieved. Furthermore, a low theoretical detection limit of 785 ppt NO2 is achieved. An ultrafast (within 2 s) recovery is observed at room temperature, and an imbedded microheater is employed to improve the selectivity of NO2 detection relative to humidity. This work represents a simple, clean, and efficient route to synthesize large-area cauliflower Gr for gas detection with high performance, including ultrahigh sensitivity, good selectivity, fast recovery, and reversibility.

Original languageEnglish
Pages (from-to)7462-7469
Number of pages8
JournalAdvanced Functional Materials
Volume26
Issue number41
DOIs
StatePublished - 2 Nov 2016
Externally publishedYes

Keywords

  • 3D graphene
  • gas sensors
  • microwave plasma-enhanced CVD
  • nanostructured graphene
  • NO2 sensing

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