Graphene based NO&lt;inf&gt;2&lt;/inf&gt; gas sensor

Hwang, Sukju; Cho, Joon Hyong; Lim, Juwhan; Kim, Whan Kyun; Shin, Hyun-Jin; Choi, Jae‐Young; Lee, Sang Yoon; Kim, Jong Min; Kim, Jae‐Hun; Lee, Seok; Jun, Seong Chan

doi:10.1109/nmdc.2010.5649598

Cited by 3 publications

(1 citation statement)

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“…Researchers have devoted time and effort to find ways to decrease the recovery process of graphene gas sensors. Studies showed that heating (Hwang et al, 2010;Novikov et al, 2013) and water vapor (Randeniya et al, 2013) could accelerate the desorption process, while both of them would change the initial resistances of graphene for a long time. By comparison, doping seems to be a more stable way to increase the response and decrease the recovery time.…”

Section: Introductionmentioning

confidence: 99%

Improving the sensitive property of graphene-based gas sensor by illumination and heating

Gao

Lin

et al. 2017

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Purpose Graphene is a two-dimensional material. Its use has many advantages in gas sensing, but its long desorption process is problematic. The aim of this paper is to design a graphene-based gas sensor, study the response to NO2 gas concentrations and find ways to accelerate the desorption process. Design/methodology/approach In one group, the sensor was placed in air to measure its initial resistance. Then, it was exposed to the NO2 gas at a certain concentration. Finally, the sensor was exposed to light immediately after NO2 gas exposure was ended. In another group, the sensor was heated using a heating plate at a stable temperature, before taking the measurements. Then the adsorption and desorption experiments were carried on. Findings Illumination and heating at a suitable temperature can expedite desorption of NO2 molecules on graphene. Originality/value In the paper, two main methods are introduced to accelerate the desorption process when the NO2 gas is absorbed on graphene. Through a series of experiments and analysis, the authors found that the recovery time could be reduced observably and the recovery performance of the graphene-based NO2 sensor could be improved effectively.

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Section: Introductionmentioning

confidence: 99%