ArticleNanomaterials (Basel, Switzerland)2017
Few-Flakes Reduced Graphene Oxide Sensors for Organic Vapors with a High Signal-to-Noise Ratio.
Article in Nanomaterials (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 12 citations in OpenAlex.
- Ion Sensing with Solution-Gated Graphene Field-Effect Sensors in the Frequency Domain.IEEE sensors journal · 2019Article
- Impact of Graphene Work Function on the Electronic Structures at the Interface between Graphene and Organic Molecules.Nanomaterials (Basel, Switzerland) · 2019Article
- A New Model and Its Application for the Dynamic Response of RGO Resistive Gas Sensor.Sensors (Basel, Switzerland) · 2019Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
This paper reports our findings on how to prepare a graphene oxide-based gas sensor for sensing fast pulses of volatile organic compounds with a better signal-to-noise ratio. We use rapid acetone pulses of varying concentrations to test the sensors. First, we compare the effect of graphene oxide deposition method (dielectrophoresis versus solvent evaporation) on the sensor's response. We find that dielectrophoresis yields films with uniform coverage and better sensor response. Second, we examine the effect of chemical reduction. Contrary to prior reports, we find that graphene oxide reduction leads to a reduction in sensor response and current noise, thus keeping the signal-to-noise ratio the same. We found that if we sonicated the sensor in acetone, we created a sensor with a few flakes of reduced graphene oxide. Such sensors provided a higher signal-to-noise ratio that could be correlated to the vapor concentration of acetone with better repeatability. Modeling shows that the sensor's response is due to one-site Langmuir adsorption or an overall single exponent process. Further, the desorption of acetone as deduced from the sensor recovery signal follows a single exponent process. Thus, we show a simple way to improve the signal-to-noise ratio in reduced graphene oxide sensors.
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Registered trials
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