Design and Fabrication of a Novel Corona-Shaped Metamaterial Biosensor for Cancer Cell Detection

Author:

Dadouche Nourelhouda1,Mezache Zinelabiddine1,Tao Junwu23,Ali Enas4ORCID,Alsharef Mohammad5,Alwabli Abdullah6ORCID,Jaffar Amar7ORCID,Alzahrani Abdullah5,Berazguia Achouak1

Affiliation:

1. Institute of Optics and Precision Mechanics, University of Ferhat Abbas Setif, Setif 19000, Algeria

2. LAPLACE, INP-ENSEEIHT, 2 Rue Camichel, 31071 Toulouse, France

3. University Toulouse III, 118 Route de Narbonne, CEDEX 9, 31062 Toulouse, France

4. Faculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt

5. Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

6. Department of Electrical Engineering, College of Engineering and Computing in Al-Qunfudhah, Umm Al-Qura University, Mecca 21955, Saudi Arabia

7. Computer and Network Engineering Department, College of Computing, Umm Al-Qura University, Mecca 21955, Saudi Arabia

Abstract

The early detection and diagnosis of cancer presents significant challenges in today’s healthcare. So, this research, suggests an original experimental biosensor for cell cancer detection using a corona-shaped metamaterial resonator. This resonator is designed to detect cancer markers with high sensitivity, selectivity, and linearity properties. By exploiting the unique properties of the corona metamaterial structure in the GHz regime, the resonator provides enhanced interaction of electromagnetic waves and improved detection skills. Through careful experimental, simulation, and optimization studies, we accurately demonstrate the resonator’s ability to detect cancer. The proposed detection system is capable of real-time non-invasive cancer detection, allowing for rapid intervention and better patient outcomes. The sensitivity value was confirmed through simulation, estimated at 0.1825 GHz/RIU. The results of two different simulation methods are used: the simulation software CST Studio Suite (version 2017) based on the finite element method (FEM), and the simulation software ADS (version 2019) based on the equivalent circuit method, thereby increasing confidence in the convergence of simulation and measurement results. This work opens new avenues for developing advanced detection technologies in the field of oncology, and paves the way for more effective cancer diagnosis. The experimental study verified that this realized sensor has very small frequency shifts, significantly small electrical dimension and miniaturization, high sensitivity, and good linearity. The suggested configurations showed a capacity for sensing cancer cells in the GHz regime.

Funder

Scientific Research, Taif University

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

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