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Photonic Crystal based Biosensor for Diagnosis of Kidney Failure and Diabetes

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Abstract

In this work, a biosensor based on two-dimensional photonic crystals is proposed. The structure is based on 30*20 silicon rods on the air background. The structure is considered for detection of Glucose and Creatinine concentrations in blood samples. This can help physicians in diagnosis of diabetes and kidney failure. The proposed biosensor is designed based on only linear materials to overcome low gain and nonlinearity difficulties. The functionality of the biosensor is fulfilled by considering the interference and scattering effects of Si defect rod situated in the structure (dark blue rods function as confining sensing media while dark green rods act as coupling rods). The proposed biosensor is designed in the format of hexagon shaped rings; filtering the operating resonance wavelengths. The functionality of the presented biosensor is investigated by considering the photonic band gap (PBG) and field distribution spectra, through the plane wave expansion (PWE) and finite-difference-time-domain (FDTD) methods. The incident light wave would be applied to the input port and according to the resonant wavelength would be transmitted to Outputs 1 or 2. The dimension of the proposed structure is considered as 114μm2 which makes it an appropriate option for optical integrated circuits. Finally, for Glucose, the remarkable sensitivity (1400 nm/RIU), quality factor (163.6—169.8), detection limit (6.6e-4—6.8e-4) RIU and figure of merit (150.4—152.6) RIU−1 were obtained. Similarly, for Creatinine, the sensitivity (795 nm/RIU), quality factor (53.5—58), detection limit (0.0029—0.0030) RIU and figure of merit (33.07—34.56) RIU−1 were achieved.

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Esmat Rafiee contributed to the study conception and design. Material preparation, data collection and analysis were performed by Esmat Rafiee. The manuscript was written by Esmat Rafiee.

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Correspondence to Esmat Rafiee.

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Rafiee, E. Photonic Crystal based Biosensor for Diagnosis of Kidney Failure and Diabetes. Plasmonics 19, 439–445 (2024). https://doi.org/10.1007/s11468-023-02014-5

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