Literature DB >> 35957674

Modeling a multiple-chain emeraldine gas sensor for NH3 and NO2 detection.

Hana Sustkova1, Jan Voves1.   

Abstract

This paper describes atomistic device models of a multiple-chain polyaniline (PANI) gas sensing component, utilizing the non-equilibrium Green's functions formalism. The numerical results are compared with experimental data of ammonia and nitrogen dioxide detection. Multiple molecules of PANI in the form of emeraldine salt were studied with more than one absorbed molecule of ammonia or nitrogen dioxide. From the I-V characteristics of the system with and without adsorbed gas molecules for gas concentrations of 3, 6, 9, and 12 ppm, the effective resistance changes, (R - R 0)/R 0, were obtained and compared with experimental results. A good agreement with the measured values was obtained. In summary, PANI as emeraldine salt was numerically modeled for several adsorbed gas concentrations, several gas configurations, and different PANI molecule positions, including carrier hopping between them. The results are comparable to the experiment and show good properties for the application as gas sensor device for NH3 detection and rather good properties for NO2 detection.
Copyright © 2022, Sustkova and Voves.

Entities:  

Keywords:  ammonia; gas sensor; nitrogen dioxide; numerical computation; polyaniline

Year:  2022        PMID: 35957674      PMCID: PMC9344558          DOI: 10.3762/bjnano.13.64

Source DB:  PubMed          Journal:  Beilstein J Nanotechnol        ISSN: 2190-4286            Impact factor:   3.272


  2 in total

1.  Density-functional theory of the electronic structure of molecules.

Authors:  R G Parr; W Yang
Journal:  Annu Rev Phys Chem       Date:  1995       Impact factor: 12.703

2.  Free-radical gases on two-dimensional transition-metal disulfides (XS2, X = Mo/W): robust half-metallicity for efficient nitrogen oxide sensors.

Authors:  Chunmei Zhang; Yalong Jiao; Fengxian Ma; Sri Kasi Matta; Steven Bottle; Aijun Du
Journal:  Beilstein J Nanotechnol       Date:  2018-06-05       Impact factor: 3.649

  2 in total

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