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    Ultrasensitive surface plasmon resonance-based biosensor for efficient detection of SARS-CoV-2 Virus in the near-infrared region
    (2024) Grover, Nitika; Arora, Pankaj
    This work offers an ultra-sensitive multilayered surface plasmon resonance (SPR)-based biosensor that uses angular interrogation in the near-infrared (NIR) region to detect the novel coronavirus (SARS-CoV-2). The multi-layered biosensor consists of the bimetallic layer (Aluminum (Al) & Gold(Au)), a dielectric layer (MgF2), and an optimized number of 2D nanomaterial (MoS2) layers. The proposed SPR sensor is engineered using the transfer matrix and finite element methods to achieve high sensitivity, the figure of merit (FOM), and detection accuracy. The selection of plasmonic metal and optimization for the different layers have been proved crucial to improving the performance parameter of the proposed sensor. The biosensor configuration (Glass prism/Al/Au/MgF2/MoS2/sensing sample) is observed to exhibit the highest sensitivity of 372°/RIU, FOM of 1690 RIU-1, and detection accuracy of 4.54 degree-1 using the strong binding efficiency of the MoS2 layer and the high dielectric constant of the MgF2 layer. According to the investigation's findings, the proposed SPR-based biosensor exhibits excellent performance in the NIR region, demonstrating accurate real-time detection capabilities that will facilitate its use in field or clinical point-of-care testing applications.
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    TiO2-FG-based plasmonic sensor with enhanced figure of merit for sensing applications: A numerical approach
    (Elsevier, 2025-09) Grover, Nitika; Arora, Pankaj
    A refractive index-based surface plasmon resonance sensor using a multilayer heterostructure in the Kretschmann configuration is proposed for the near-infrared region. In the proposed configuration, aluminum is used as a plasmonic metal, titanium dioxide is used as a dielectric layer, and a fluorinated graphene (FG) layer is used as a 2D nanomaterial to enhance the performance parameters. A thorough comparative study is conducted between popularly used titanium compounds: Titanium dioxide (TiO2) and Titanium disilicide (TiSi2). For the proposed SPR sensor, each layer is engineered and optimized on the grounds of linewidth, detection accuracy (DA), and Figure of Merit (FOM), which are the critical performance parameters. To this end, the geometrical parameters are calculated using the transfer matrix method and analyzed meticulously to find the optimum trade-off points. The proposed sensor is numerically tested efficiently to sense different concentrations of hemoglobin in human blood. For the angle interrogation technique at the wavelength of 1550 nm, the sensor provides an enhanced FOM of 462.8 RIU−1 and a DA of 4 degrees−1. Thus, the proposed design opens a broader window for bio-sensing applications because of the advantages TiO2 and FG layers offer in enhancing the sensing parameters.