Optics and Photonics Society of Iran

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One of the most important and common respiratory infections is the influenza virus. In this paper, a multilayer black phosphorus-based nanostructure is introduced to identify a variety of influenza viruses. The proposed nanostructure is a grating-shaped structure based on black phosphorus and Al₂O₃ substrate. To achieve the transmission spectrum of each of these three types of viruses (H9N2, H5N2, H1N1) in the terahertz range, FDTD numerical analysis has been used for this structure. The change in resonance frequency is greater for the H9N2 virus because the real part of its refractive index is relatively larger. Here, too, the rate of change is examined based on the different thicknesses of the H9N2 virus. Also, changes in the refractive index of the environment have been used to calculate important parameters in the sensors, such as sensitivity, FWHM, and figure of merit. As a result, the designed terahertz nanosensor can be used as a highly sensitive biosensor to detect different types of influenza viruses in the terahertz region.

Keywords: Black Phosphorus, Nanostructure, Refractive Index, Surface Plasmon, Transmission, Virus detection

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