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Detection of cancer cells with selective photonic crystal fiber based on fuzzy logic

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Abstract

In this paper, a photonic crystal fiber sensor based on surface plasmon resonance (PCF-SPR) is proposed for diagnosis of cancer cells. Cells refractive index (RI) detection is in the visible to near infrared region. The normal cell RI range is from 1.35 to 1.37, and the cancerous cell RI ranges is from 1.39 to 1.40. Noble plasmonic material gold (Au) is used to excite the surface plasmons and expand the operating wavelength range. The sensor response is investigated using the mode solver based finite element method (FEM) and then a diagnostic algorithm for cancer cells based on fuzzy logic is proposed. In cancer cell diagnosis based on fuzzy logic, three inputs, RI, wavelength and confinement losses (CL), are considered for better sensor selectivity in cell exposure. The output of the fuzzy system is also classified based on three responses, normal cell, cell with medium cancer risk and cell with high risk of cancer, which has a very good performance due to the adaptation of fuzzy rules to the operation of the proposed photonic crystal fiber sensor. Using the amplitude and wavelength interrogation methods, numerical results indicate that the proposed sensor has a maximum amplitude sensitivity (AS) of 448.4 RIU− 1, amplitude resolution (AR) of 2.23 × 10− 5 RIU, maximum wavelength sensitivity (WS) of 20,000 nm/RIU, and wavelength resolution (WR) of 5 × 10− 6 RIU, respectively. This sensor due to its high sensitivity, easy detection, high selectivity against the cell and easy construction, can be used as a useful and cost-effective screening sensor to detect cancer cells.

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Data Availability

The datasets generated during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. Nano Optoelectronics Research Center, Electrical Engineering Department, Shiraz University of Technology, Shiraz, Iran

    Seyede Mahboobeh Mousavi Monazah, Farzin Emami & Mohammad Reza Salehi

  2. Clinical Research Development Center of Hazrate Rasool Hospital, Iran University of Medical Sciences, Tehran, Iran

    Atekeh Hajilari

  3. Visiting Academic Staff, Center for Smart Power and Energy Research, School of Engineering, Deakin University, Melbourne, Australia

    Farzin Emami

Authors
  1. Seyede Mahboobeh Mousavi Monazah
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  2. Farzin Emami
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  4. Atekeh Hajilari
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Contributions

Seyede Mahboobeh Mousavi monazah: Conceptualization, Methodology, Visualization, Data curation, Writing-original draft. Farzin Emami: Writing-review & editing. Mohammad Reza Salehi: Supervision, Project administration. Atekeh Hajilari: Supervision.

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Correspondence to Seyede Mahboobeh Mousavi Monazah.

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Mousavi Monazah, S.M., Emami, F., Salehi, M.R. et al. Detection of cancer cells with selective photonic crystal fiber based on fuzzy logic. Opt Quant Electron 55, 440 (2023). https://doi.org/10.1007/s11082-023-04667-2

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