Modeling and simulation of carbon-nanocomposite-based gas sensors.

Roopa Hegde, Punya Prabha V, Shipra Upadhyay, Krishna S B

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Article in Beilstein journal of nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Roopa HegdeElectronics and Communication Engineering, Ramaiah Institute of Technology, MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India.ORCID https://orcid.org/0000-0001-7962-047X

Punya Prabha VElectronics and Communication Engineering, Ramaiah Institute of Technology, MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India.

Shipra UpadhyayElectronics and Communication Engineering, Ramaiah Institute of Technology, MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India.

Krishna S BElectronics and Communication Engineering, Ramaiah Institute of Technology, MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper reports simulation of a carbon monoxide gas sensor using COMSOL Multiphysics whose active sensing material used is a carbon nanocomposite (i.e., 0.1 wt % of single-walled carbon nanotubes along with PEDOT:PSS (poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)) in an equal volume ratio of 1:1. Given the high cost associated with the development of these sensors, it becomes imperative to establish a mathematical model for economically predicting their behavior. The simulation using COMSOL Multiphysics is performed to obtain the surface coverage of the sensor by introducing carbon monoxide gas through a Gaussian pulse feed inlet at concentrations ranging from 1 to 7 ppm. The surface coverage over the range of 14% to 32.94% for the given range of concentrations is achieved giving the information of the amount of gas molecules adsorbed onto the surface of the sensing material at a given time. The surface coverage of the sensor is enhanced by using the nanocomposite materials which in turn enhances the sensitivity of the gas sensors.

Indexed as

CO gasCOMSOL Multiphysicsgas sensorsurface coverageSWCNT/PEDOT:PSS

Identifiers

PMID39902343

DOI10.3762/bjnano.16.9

PMCPMC11789675

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