Graphene-based H-shaped biosensor with high sensitivity and optimization using ML-based algorithm

Shobhit K. Patel; Jaymit Surve; Juveriya Parmar; Ammar Armghan; Khaled Aliqab; Baraa Riyadh Altahan; Kawsar Ahmed; Francis M. Bui; Fahad Ahmed Al-Zahrani

Alexandria Engineering Journal (Apr 2023)

Graphene-based H-shaped biosensor with high sensitivity and optimization using ML-based algorithm

Shobhit K. Patel,
Jaymit Surve,
Juveriya Parmar,
Ammar Armghan,
Khaled Aliqab,
Baraa Riyadh Altahan,
Kawsar Ahmed,
Francis M. Bui,
Fahad Ahmed Al-Zahrani

Affiliations

Shobhit K. Patel: Department of Computer Engineering, Marwadi University, Rajkot, Gujarat 360003, India; Corresponding authors.
Jaymit Surve: Department of Electrical Engineering, Marwadi University, Rajkot, Gujarat 360003, India
Juveriya Parmar: Department of Electronics and Communication Engineering, Marwadi University, Rajkot, Gujarat 360003, India; Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, 1400 R St., Nebraska 68588, USA
Ammar Armghan: Department of Electrical Engineering. College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia; Corresponding authors.
Khaled Aliqab: Department of Electrical Engineering. College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia
Baraa Riyadh Altahan: Department of Medical Instrumentation Engineering Techniques, Al-Mustaqbal University College, 51001 Hilla, Babil, Iraq
Kawsar Ahmed: Department of Electrical and Computer Engineering, University of Saskatchewan, 57, Campus Drive, Saskatoon, SK S7N 5A9, Canada; Group of Biophotomatiχ, Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail 1902, Bangladesh; Corresponding authors.
Francis M. Bui: Department of Electrical and Computer Engineering, University of Saskatchewan, 57, Campus Drive, Saskatoon, SK S7N 5A9, Canada
Fahad Ahmed Al-Zahrani: Computer Engineering Department, Umm Al-Qura University, Mecca 24381, Saudi Arabia

Journal volume & issue: Vol. 68
pp. 15 – 28

Abstract

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In this paper, a biosensing absorber based on phase transition material is presented. Different phases of the Ge2Sb2Te5 (GST) substrate have been studied for the suggested absorber with controllable characteristics. The structure has been examined to determine the infrared absorption characteristics. The detection of varying volumes of hemoglobin and urine biomolecules is studied. The graphene-GST material is utilized for spectrum tuning. The tuning for two distinct phases of GST material, amorphous GST and crystalline GST is examined. The results for aGST and cGST are reported in the form of absorption. Different amounts of hemoglobin and urine biomolecules are used to tune these two GST stages. Based on the wavelength shifts at these various concentrations, the sensitivity is computed. The highest achievable sensitivity for hemoglobin and urine biomolecules is 1500 nm/RIU and 1667 nm/RIU. The developed model is observed for various geometrical parameters and incidence angles, from which it is determined that the suggested structure is insensitive to wide angles between 0° and 60°. For urine biomolecules, the aGST design is more sensitive than the cGST design, but similar results are achieved for hemoglobin biomolecules. Experiments are conducted with Machine Learning-based regression models to minimize the simulation time and resource requirements of biosensor design. The findings of the trials indicate that a regression model can accurately estimate the absorption values for intermediate wavelengths with an R2 score of 0.9999.

Published in Alexandria Engineering Journal

ISSN: 1110-0168 (Print); 2090-2670 (Online)
Publisher: Elsevier
Country of publisher: Egypt
LCC subjects: Technology: Engineering (General). Civil engineering (General)
Website: http://www.journals.elsevier.com/alexandria-engineering-journal/

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