2015
DOI: 10.1088/0268-1242/30/4/045012
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A new approach to model sensitivity of graphene-based gas sensors

Abstract: Carbon-based sensors are attractive because of their excellent sensing capability. In this paper, we propose a new approach to analytically model the sensitivity of these devices based on graphene. The model relies on the surface potential and current of the device. For the first time, we included ionization in the modelling and examined the importance of this effect. In order to validate the model, the results are compared with experimental data from a fabricated device.

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Cited by 6 publications
(4 citation statements)
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References 40 publications
(65 reference statements)
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“…3(e) , causing graphene to become more reactive, a suitable feature for gas sensor applications. 53 In the pyridinic-N 3 model, the symmetry breaking of the graphene sub-lattice decreased because the three carbon atoms closest to the vacancy site, which have unsaturated dangling bonds, were substituted with nitrogen atoms, as presented in Fig. 3(f) .…”
Section: Resultsmentioning
confidence: 99%
“…3(e) , causing graphene to become more reactive, a suitable feature for gas sensor applications. 53 In the pyridinic-N 3 model, the symmetry breaking of the graphene sub-lattice decreased because the three carbon atoms closest to the vacancy site, which have unsaturated dangling bonds, were substituted with nitrogen atoms, as presented in Fig. 3(f) .…”
Section: Resultsmentioning
confidence: 99%
“…Gas-sensing technology is increasingly attracting interest driven by the demand for its applicability in industrial production, the automotive industry, medical devices, indoor air quality supervision, and environmental studies [1][2][3][4][5]. In a report released by MarketsandMarkets TM in 2017, the market for gas sensors was estimated to be $812.3 million (USD) in 2016 and is expected to reach $1297.6 million (USD) by 2023 at a compounded annual growth rate of 6.83% during the forecast period [6].…”
Section: Introductionmentioning
confidence: 99%
“…However, organic sensors generally suffer from instability in terms of performance because they show high response and recovery times. In general, using nanoscale coating results in an increase in the sensitivity and response time of the sensors due to the high surface area of the coating material compared to its thickness [ 13 , 14 ]. However, the fabrication process is normally difficult and requires expensive machines.…”
Section: Introductionmentioning
confidence: 99%