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Mono-Rectangular Core Photonic Crystal Fiber (MRC-PCF) for Skin and Blood Cancer Detection


This paper reports a novel approach for the efficient detection of blood and skin cancerous cells using PCF-based sensor. The proposed sensor contains an asymmetrical arrangement of rectangular holes where the core region is composed of a single rectangle. Zeonex is used as the fiber substance. The model is structured and numerically analyzed using the finite element method (FEM)-based software. The simulation of the proposed model validates its efficiency in cancer cell detection. Several performance parameters suggest that the proposed sensor attains optimum results at 2.0 THz. At this point, the sensitivities achieved in detecting blood cancer cells, normal cell (Jurkat), skin cancer cell, normal cell (basal), and water are 96.74, 96.56, 96.61, 96.34, and 95.69%, respectively. Besides, simulation results also suggest that the material and confinement loss are very low for this proposed sensor. Additionally, the simple rectangle-based model provides the ease of fabrication introducing prevailing strategies.

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Data Availability

The guiding properties of the proposed sensor is numerically investigate by FEM-based software.


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Conceptualization; Abdullah Al-Mamun Bulbul, Ahmed Nabih Zaki Rashed; data curation formal analysis investigation Abdullah Al-Mamun Bulbul, Etu Podder; methodology Abdullah Al-Mamun Bulbul, Etu Podder, Abdullah Al-Mamun Bulbul, Ahmed Nabih Zaki Rashed; resources software Abdullah Al-Mamun Bulbul, Etu Podder; supervision validation Abdullah Al-Mamun Bulbul, Mahmoud M. A. Eid, Ahmed Nabih Zaki Rashed; visualization writing original draft, Mahmoud M. A. Eid, Ahmed Nabih Zaki Rashed, Abdullah Al-Mamun Bulbul; writing review editing.

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Correspondence to Abdullah Al-Mamun Bulbul.

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Eid, M.M.A., Rashed, A.N.Z., Bulbul, A.AM. et al. Mono-Rectangular Core Photonic Crystal Fiber (MRC-PCF) for Skin and Blood Cancer Detection. Plasmonics 16, 717–727 (2021).

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  • Mono rectangular configuration
  • PCF
  • Skin cancer detection
  • Blood cancer detection