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Design and Modelling of Surface Plasmon Resonance Biosensor Employing BaTiO3 and Graphene Nanostructure for Detection of SARS-CoV-2 Virus

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Abstract

The present article exhibits a comprehensive analysis of surface plasmon resonance (SPR)-based biosensor for real-time and label-free detection of the novel SARS-CoV-2 virus. The proposed SPR sensor is based on the Kretschmann geometry, which is designed by using CaF2 prism, titanium oxide (Ti02), Silver (Ag), barium titanate (BaTiO3), graphene, and thiol-tethered ssDNA layer as a ligand for the SARS-CoV-2 virus. The transfer matrix method is employed to investigate the angular reflectance characteristics. The thickness of different layers and the number of layers are judiciously optimized. The enhancement in the sensitivity of the proposed sensor is studied by considering different arrangements of the layers. It is revealed that with a monolayer of BaTiO3 and bilayer of graphene, the sensor bestows an optimum sensitivity of 433.63 deg./RIU, figure of merit of 136.79 1/RIU, detection accuracy of 0.331 \({Deg.}^{-1}\), and detection limit in the order of \({10}^{-5}\). Apart from this, electric field enhancement factor is studied for different concentration of SARS-CoV-2 virus. The notable sensing performances indicate that the proposed SPR sensor can be a potential candidate to pave a new path for detecting SARS-CoV-2, based on the hybrid materials.

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Data Availability

The data utilization is obtained through numerical simulation and few of optimized data from proper literature. All have been provided in the strucuture descritpion and reference section.

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Funding

The authors acknowledge the Researchers Supporting Project number (RSPD2024R708), King Saud University, Riyadh, Saudi Arabia for funding this research work.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Grace College of Engineering, Mullakadu, Thoothukudi, Tamil Nadu, 628005, India

    K. M. Alaaudeen

  2. Department of Botany and Microbiology, College of Science, King Saud University, P.O. BOX 2454, Riyadh, Saudi Arabia

    Salim Manoharadas

  3. Department of Electronics and Communication Engineering, Centre for IoT and AI (CITI), KPR Institute of Engineering and Technology, Coimbatore, 641407, India

    Vigneswaran Dhasarathan

  4. Department of ECE, St. Joseph’s College of Engineering, Chennai, India

    S. Rajeshkannan

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  1. K. M. Alaaudeen
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  2. Salim Manoharadas
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  4. S. Rajeshkannan
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Contributions

K.M.A has involved transfer matrix method; SM has involved in data collection and its validation; DV has formulated the entire work and methodology; SR has supported and involved the writing part of part of article.

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Correspondence to Vigneswaran Dhasarathan.

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Alaaudeen, K.M., Manoharadas, S., Dhasarathan, V. et al. Design and Modelling of Surface Plasmon Resonance Biosensor Employing BaTiO3 and Graphene Nanostructure for Detection of SARS-CoV-2 Virus. Plasmonics (2024). https://doi.org/10.1007/s11468-024-02322-4

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