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Mathematical modelling and gas sensing abilities of graphene based optical sensor

A. DENIZ1, S.C. ACIKBAS1, K. BUYUKKABASAKAL2, Y. ACIKBAS3,* , M. ERDOGAN4, R. CAPAN4

Affiliation

  1. Department of Mathematics, Faculty of Science, University of Usak, Turkey
  2. Department of Electric-Electronic Engineering, Faculty of Engineering, University of Usak, Turkey
  3. Department of Material Science and Nanotechnology Engineering, Faculty of Engineering, University of Usak, Turkey
  4. Department of Physics, Faculty of Science, University of Balikesir, Turkey

Abstract

In this work, graphene based Langmuir-Blodgett (LB) thin films prepared onto gold-coated glass substrates to evaluate its sensing ability by using Surface Plasmon Resonance (SPR) system. In order to illuminate the swelling characteristics of the graphene optical sensor, the diffusion coefficients of these vapors were calculated by applying the early-time Fick’s diffusion equation. The diffusion coefficients are found to be 0.1954 x 10−15, 0.0696 x 10−15 and 0.0197 x 10−15 cm2 s−1 for benzene, toluene, and xylene, respectively. The nonlinear autoregressive with exogenous input neural network was designed by utilizing experimental data from SPR kinetic results to model the change in photodetector response. The calculated diffusion coefficients using artificial neural network model are approximately equal to real-data diffusion coefficients as verified by very high correlation coefficients (0.1948 x 10−15, 0.0760 x 10−15 and 0.0198 x 10−15 cm2 s−1 for benzene, toluene, and xylene, respectively). Consequently, graphene-based optical sensors displays high response and sensitivity for saturated benzene vapor than other vapors. These optical thin film sensors were potential candidates for organic vapor sensing applications with simple and low cost preparation at room temperature..

Keywords

Graphene, LB thin film, Optical sensor, Surface plasmon resonance, Swelling dynamics, NARX-ANN model.

Submitted at: Nov. 14, 2021
Accepted at: June 7, 2022

Citation

A. DENIZ, S.C. ACIKBAS, K. BUYUKKABASAKAL, Y. ACIKBAS, M. ERDOGAN, R. CAPAN, Mathematical modelling and gas sensing abilities of graphene based optical sensor, Journal of Optoelectronics and Advanced Materials Vol. 24, Iss. 5-6, pp. 193-200 (2022)