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Numerical Investigation of Ag-Franckeite-Barium Titanium-BP-Based Highly Performed Surface Plasmon Resonance Sensor for Virus SARS-CoV-2 Detection

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Abstract

The severe respiratory syndrome coronavirus-2 (SARS-CoV-2) is researching the COVID-19 pandemic epidemic as a worldwide health concern. Analytical tools that are sensitive, quick to produce results, affordable, and accurate with high precision are necessary to observe infected individuals for effective quarantine and prompt treatment. Therefore, this paper presents a numerical investigation of the Kretschmann configuration-based surface plasmon resonance (SPR) sensor, a label-free, highly sensitive, low-cost device for detecting SARS-CoV-2. The proposed sensor comprises of six layers, and is Bor Kron7 (BK7)-silver (Ag)-Franckeite-barium titanium (BaTiO3)-black phosphorus (BP)-sensing medium. For the detection process, the transfer matrix method is used along with and the angular interrogation procedure to analyze the performance of the sensor in terms of sensitivity, quality factor (QF), detection accuracy (DA), and limit of detection (LOD). Initially, the thickness of Ag and BaTiO3 layers is optimized by obtaining better sensitivity. Furthermore, to manifest the impression of the proposed sensor, we calculate the sensitivity performance for different structures, which are comprised of considered materials. Moreover, with the optimized structure, the SPR sensing parameters are analyzed for different SARS-CoV-2’s refractive index values and found the extreme sensitivity of 331.54°/RIU, QF of 119.69 RUI−1, DA of 3.11, and LOD of 1.51E − 5. Finally, electric field intensity factor responses are plotted, following by performance comparison between the proposed work and existing work.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Koneru Lakshmaiah Educational Foundation (KLEF), Vaddeswaram, Andhra Pradesh 522302, India

    Vasimalla Yesudasu

  2. National Institute of Technology, Warangal, Telangana, 506004, India

    Himansu Shekhar Pradhan

  3. Electrical, Electronics and Communication Engineering (EECE), Indian Institute of Technology Dharwad, Dharwad, Karnataka, India

    Rahul Jashvantbhai Pandya

  4. Department of ECE, Sona College of Technology, Salem, Tamilnadu, India

    B. Thiyaneswaran

  5. Department of ECE, Easwari Engineering College, Chennai, Tamilnadu, India

    S. Vanaja

  6. Department of Electrical and Electronic Engineering, Jashore University of Science and Technology, Jashore-7408, Bangladesh

    Md. Amzad Hossain

  7. Electronics and Electrical Communications Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf 32951, Egypt

    Ahmed Nabih Zaki Rashed

  8. Department of VLSI Microelectronics, Institute of Electronics and Communication Engineering, Saveetha School of Engineering, SIMATS, Chennai 602105, Tamilnadu, India

    Ahmed Nabih Zaki Rashed

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  1. Vasimalla Yesudasu
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  2. Himansu Shekhar Pradhan
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  3. Rahul Jashvantbhai Pandya
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  4. B. Thiyaneswaran
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  5. S. Vanaja
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Contributions

Conceptualization: Vasimalla Yesudasu, Himansu Shekhar Pradhan, Rahul Jashvantbhai Pandya; Data curation, formal analysis, investigation, and methodology: B. Thiyaneswaran, S. Vanaja, Md. Amzad Hossain, and Ahmed Nabih Zaki Rashed; Resources and software: Vasimalla Yesudasu, Himansu Shekhar Pradhan, and Rahul Jashvantbhai Pandya; supervision, validation, visualization, and writing—original draft: B. Thiyaneswaran, S. Vanaja, Md. Amzad Hossain, and Ahmed Nabih Zaki Rashed; writing—review and editing: Vasimalla Yesudasu, Himansu Shekhar Pradhan, and Rahul Jashvantbhai Pandya.

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Correspondence to Md. Amzad Hossain or Ahmed Nabih Zaki Rashed.

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Yesudasu, V., Pradhan, H.S., Pandya, R.J. et al. Numerical Investigation of Ag-Franckeite-Barium Titanium-BP-Based Highly Performed Surface Plasmon Resonance Sensor for Virus SARS-CoV-2 Detection. Plasmonics 19, 167–178 (2024). https://doi.org/10.1007/s11468-023-01985-9

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