2020
DOI: 10.1021/acsomega.9b04325
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Calibration of Nonstationary Gas Sensors Based on Two-Dimensional Materials

Abstract: Two-dimensional materials (2DMs) have high potential in gas sensing, due to their large surface-to-volume ratio. However, most sensors based on 2DMs suffer from the lack of a steady state during gas exposure, hampering sensor calibration. Here, we demonstrate that analysis of the time differential of the signal output enables the calibration of chemiresistors based on platinum or tungsten diselenide (PtSe 2 , WSe 2 ) and molybdenum disulfide (MoS 2 ), which present nonstationary behavior. 2DMs are synthesized … Show more

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Cited by 21 publications
(15 citation statements)
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“…The real-time behavior is comparable with the results reported in previous works [46][47][48][49][50][65][66][67][68][69][70], especially in terms of the kinetics of interaction between the sensing layers and the after the exposure to NO 2 . For the sake of clarity, the band structure of graphene was designed similar as that of a single layer of graphene.…”
Section: Resultssupporting
confidence: 88%
“…The real-time behavior is comparable with the results reported in previous works [46][47][48][49][50][65][66][67][68][69][70], especially in terms of the kinetics of interaction between the sensing layers and the after the exposure to NO 2 . For the sake of clarity, the band structure of graphene was designed similar as that of a single layer of graphene.…”
Section: Resultssupporting
confidence: 88%
“…Although the derivative-based model is simpler, it enables a real-time readout of the concentration only in the special case when the concentration is zero and increasing rapidly, whereas our model enables continuous real-time monitoring of the concentration. The time derivative of the signal during a concentration change, described in [57], is visible in our data as well, depicted by the sharp peaks on the theoretical curve in Figure 7 during concentration changes. In Figure 8, we show the relationship between the product C × β and the actual concentration of CO2.…”
Section: Real-time Concentration Measurementsupporting
confidence: 72%
“…From a practical standpoint, the theoretical model can be used to monitor gas concentration in real time, which is not the case when the experimental data are directly read out. We note that a simpler model, based on the time derivative of the measured signal, has been proposed to relate the measured signal to the gas concentration in 2D materials [57]. Although the derivative-based model is simpler, it enables a real-time readout of the concentration only in the special case when the concentration is zero and increasing rapidly, whereas our model enables continuous real-time monitoring of the concentration.…”
Section: Real-time Concentration Measurementmentioning
confidence: 99%
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“…However, two dimensional nanomaterials, when compared to 0D, 1D, and 3D counterparts, are more preferable while devising a compact sensor due to the ease with which they form electrical contacts, a larger lateral size and diversity in configuration, flexibility in morphological properties, and their compatibility with thin films. Accordingly, a novel platform for multiplexed in vitro recognition of DNA in a virus causing hepatitis A & B through tracking of dispersal of K+ ions, reported by Yuanyuan Tian et al [ 14 ], and 2D nanomaterial synthesized by thermal assistance [ 15 ] capable of resolving the issues associated with steady-state signals in gas sensors, emphasizes the significance of 2D nanomaterial.…”
Section: Properties Of Nanomaterials In Sensorsmentioning
confidence: 99%