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Quantitative analysis of highly efficient PCF-based sensor for early detection of breast cancer cells in THz regime

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Abstract

Now a day’s breast cancer is a concern in modern science and medicine, consequently establishing an effective and precise breast cancer cell detection approach becomes extremely important. Photonic crystal fiber-based sensor makes this approach smoother and more innovative. A unique THz sensor based on hollow core photonic crystal fiber facilitating chemical analytes detection within terahertz frequency range has been reported in the present work. Efficiency of the presented sensor has been investigated numerically applying simulation technology based on the finite element technique. A photonic crystal fiber biosensor is designed to detect cancerous cells, all the proposed combinations have been implemented by using finite element approach, and the performance of the proposed model has been evaluated by MATLAB software. The reported sensor could be operated in the frequency range 1.0–2.0 THz. Simulation results are found to be good enough, with highly birefringence (0.0020), lower confinement loss (17.33 × 10–9 dB/cm), lower effective area (3.04 × 10–8 µm2), a higher relative sensitivity (65.53%) along x-axis, relative sensitivity (53.63%) along y-axis, effective refractive index (1.376), nonlinear coefficient (6.38 × 1016) and dispersion (0.1588 ± 0.0121). Furthermore, the proposed sensor's manufacturing capabilities remain assured by its ease of implementation.

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Acknowledgements

The first author (Sapana Yadav) expresses gratitude to Madan Mohan Malaviya University of Technology Gorakhpur, India, for financial assistance. Dr. Sachin Singh, Institute of Advanced Materials, IAAM, Sweden and Dr. Yadvendra Singh, Boise University, USA have also expressed gratitude for their precious cooperation and assistance.

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  1. Photonics and Photovoltaic Research Lab (PPRL), Department of Physics and Material Science, Madan Mohan Malaviya University of Technology, Gorakhpur, 273010, India

    Sapana Yadav & D. K. Dwivedi

  2. Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, 273010, India

    Pooja Lohia

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Yadav, S., Lohia, P. & Dwivedi, D.K. Quantitative analysis of highly efficient PCF-based sensor for early detection of breast cancer cells in THz regime. J Opt 53, 2642–2655 (2024). https://doi.org/10.1007/s12596-023-01404-6

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