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ORIGINAL RESEARCH article

Front. Phys.
Sec. Optics and Photonics
Volume 12 - 2024 | doi: 10.3389/fphy.2024.1503400
This article is part of the Research Topic Advances in Optical Sensors Based on Nanomaterials View all 3 articles

SARS-CoV-2 Detection by Surface Plasmon Resonance Biosensors Based on Graphene-Multilayer Structures

Provisionally accepted
  • 1 National Laboratory of Frascati (INFN), Frascati, Italy
  • 2 Universidad Técnica Particular de Loja, Loja, Loja, Ecuador
  • 3 Escuela Superior Politécnica del Chimborazo, Riobamba, Chimborazo, Ecuador
  • 4 Baku State University, Baku, Azerbaijan

The final, formatted version of the article will be published soon.

    The COVID-19 pandemic has created a demanding need for fast, sensitive, and reliable diagnostic methods to identify viral infections like SARS-CoV-2. In response, surface plasmon resonance (SPR) biosensors have emerged as effective tools for detecting biomolecules. This theoretical study focuses on designing and refining multilayer SPR biosensor configuration to ensure high sensitivity and stability. The optimized configuration consists of a thin silver layer, a silicon nitride layer, a single graphene layer, and a ssDNA bioreceptor layer, each tailored to improve the effectiveness of the proposed biosensor. The capability of the biosensor to detect SARS-CoV-2 is assessed by analyzing its SPR response, specifically examining variations in resonance angle, attenuation, full width at half maximum, and sensitivity across a range of viral concentrations. Additionally, this study evaluated performance metrics such as refractive index sensitivity, detection accuracy, and quality factor to determine the effectiveness of the biosensor against SARS-CoV-2. Then, this work establishes a basis for further development of SPR biosensors aimed at various viral and biomolecular targets, supporting advances in biosensing technology and the creation of effective diagnostic tools to address current and future health challenges.

    Keywords: Surface Plasmon Resonance, Graphene, Silicon Nitrite, SARS-CoV-2, Biosensors

    Received: 28 Sep 2024; Accepted: 03 Dec 2024.

    Copyright: © 2024 Vacacela Gomez, Tene, Guevara, Romero, Guapi and Gahramanli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Cristian Vacacela Gomez, National Laboratory of Frascati (INFN), Frascati, Italy

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.