☆ 4.4 Article

Gas sensor based on defective graphene/pristine graphene hybrid towards high sensitivity detection of NO2

AIP ADVANCES (2019)

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AIP ADVANCES
卷 9, 期 7, 页码 -

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AMER INST PHYSICS
DOI: 10.1063/1.5099511

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Nanoscience & Nanotechnology Materials Science, Multidisciplinary Physics, Applied

资金

  1. Program of Shanghai Academic/Technology Research Leader [16XD1404200]
  2. Key Research Project of Frontier Science, Chinese Academy of Sciences [QYZDB-SSW-JSC021]
  3. National Science and Technology Major Project [2016ZX02301003-004]
  4. National Natural Science Foundation of China [61774163]
  5. Strategic Priority Research Program (B) of the Chinese Academy of Sciences [XDB30030000]

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We propose an approach to improve the performance of graphene-based gas sensors by the integration of defective graphene with pristine graphene. The defect density of defective graphene is controlled by the fluence of Si+ implantation, and an H-2 etching process is utilized to tune defect size. As defects are able to adsorb target gas efficiently, the response of graphene-based sensors was improved remarkably with the controllable defect density. The response sensitivity of a defective-graphene-based sensor to concentrations of NO2 at 100 ppm can be as high as 248%, 13 times higher than that of a sensor built using pristine graphene. In addition, defective-graphene-based sensors exhibit high response and recovery rates at room temperature, which is comparable to those of pristine graphene-based sensors and faster than conventional defect-decorated graphene sensors. Most importantly, defective-graphene-based gas sensors exhibit excellent reproducibility, stability, and selectivity. Our study suggests a simple and effective strategy for the mass production of high-performance graphene-based gas sensors for NO2 gas detection.

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