In this paper, a dual-core photonic crystal fiber (PCF) biosensor is proposed that is capable of effectively identifying cancer cells based on fuzzy logic. The suggested biosensor is investigated numerically with the Finite Element Method (FEM), and fuzzy logic is applied for the classification of cancerous cells. In the range of values for refractive index, the recommended sensor performs between 1.35 and 1.41. The range of RI values for normal cells is 1.35 to 1.37, while the range for cancerous cells is 1.39 to 1.41. The sensor exhibits high selectivity when it comes into contact with live cells by combining fuzzy rules. The suggested photonic crystal fiber sensor operates well since fuzzy rules are adjusted for it. Additionally, a cancer detection probability of 0.832 is introduced to the fuzzy logic system. The proposed biosensor displayed the highest wavelength sensitivity (WS) of 18000 nm/RIU and Amplitude sensitivity (AS) of 843.87 RIU⁻¹ at y polarization mode. The proposed sensor covers the gap with high sensitivity, better detection, easy fabrication, and superior selectivity, reducing ambiguity by applying fuzzy logic. A development in technology that raises the standard.
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Abdullah et al. (2024) studied this question.
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