Simulation of Graphene Nanoplatelets for NO$_{2}$ and CO Gas Sensing at Room Temperature

This work reports the modeling and simulation of gas sensors made from pristine graphene nanoplatelets (P-GnPs) using COMSOL Multiphysics software. The mass balance equation was solved while including contributions of electromigration flux. An example GnP-based gas sensor was simulated to undergo ex...

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Main Authors Farinre, Olasunbo, Mhatre, Swapnil M, Rigosi, Albert F, Misra, Prabhakar
Format Journal Article
LanguageEnglish
Published 20.01.2022
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Abstract This work reports the modeling and simulation of gas sensors made from pristine graphene nanoplatelets (P-GnPs) using COMSOL Multiphysics software. The mass balance equation was solved while including contributions of electromigration flux. An example GnP-based gas sensor was simulated to undergo exposure to NO2 and CO gases at different concentrations to understand the effects of adsorption. Various electrical properties and the overall sensor responses were also studied as a function of gas concentration in order to determine how viable such sensors could be for target gases. The results herein show that the resistance of the P-GnP-based gas sensor decreases when exposed to NO2 gas whereas an opposite trend is seen when CO gas is used for exposures, ultimately suggesting that the P-GnPs exhibit p-type behavior. Sensitivities of 23 % and 60 % were achieved when the P-GnP-based gas sensor was exposed to 10 mol/m3 concentration of NO2 and CO at room temperature, respectively. The data heavily suggest that a higher sensitivity towards CO may be observed in future sensors. These simulations will benefit research efforts by providing a method for predicting the behavior of GnP-based gas sensors.
AbstractList This work reports the modeling and simulation of gas sensors made from pristine graphene nanoplatelets (P-GnPs) using COMSOL Multiphysics software. The mass balance equation was solved while including contributions of electromigration flux. An example GnP-based gas sensor was simulated to undergo exposure to NO2 and CO gases at different concentrations to understand the effects of adsorption. Various electrical properties and the overall sensor responses were also studied as a function of gas concentration in order to determine how viable such sensors could be for target gases. The results herein show that the resistance of the P-GnP-based gas sensor decreases when exposed to NO2 gas whereas an opposite trend is seen when CO gas is used for exposures, ultimately suggesting that the P-GnPs exhibit p-type behavior. Sensitivities of 23 % and 60 % were achieved when the P-GnP-based gas sensor was exposed to 10 mol/m3 concentration of NO2 and CO at room temperature, respectively. The data heavily suggest that a higher sensitivity towards CO may be observed in future sensors. These simulations will benefit research efforts by providing a method for predicting the behavior of GnP-based gas sensors.
Author Mhatre, Swapnil M
Misra, Prabhakar
Farinre, Olasunbo
Rigosi, Albert F
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BackLink https://doi.org/10.48550/arXiv.2201.08421$$DView paper in arXiv
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Snippet This work reports the modeling and simulation of gas sensors made from pristine graphene nanoplatelets (P-GnPs) using COMSOL Multiphysics software. The mass...
SourceID arxiv
SourceType Open Access Repository
SubjectTerms Physics - Applied Physics
Physics - Chemical Physics
Physics - Instrumentation and Detectors
Title Simulation of Graphene Nanoplatelets for NO$_{2}$ and CO Gas Sensing at Room Temperature
URI https://arxiv.org/abs/2201.08421
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