Ultra-sensitive biosensor with simultaneous detection (Of cancer and diabetes) and analysis of deformation effects on dielectric rods in optical microstructure

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Abstract

This study proposes a refractive index sensor for the simultaneous detection of cancer and diabetes based on photonic crystals (PhC). The proposed PhC composed of silicon rods in the air bed arranged in a hexagonal lattice forms the fundamental structure. Two tubes are used to place the cancerous or diabetic samples for measurement. The sensor’s transmission characteristics are simulated and analyzed by solving Maxwell’s electromagnetic equations using the finite-difference time-domain approach for samples being studied. Therefore, diabetes and cancer are detected according to the changes in the refractive index of the samples using the laser source centered at 1550 nm. Considering the findings, the sensor’s geometry changes to adjust the suggested sensitivity and quality factor of structure. According to the results, transmission power ranges between 91 and 100% based on the sample. Moreover, sensitivity ranges from 1294 to 3080 nm/RIU and the maximum Figure of Mertie is nearly FOM = 1550.11 ± 150.11 RIU−1 with the detection in range 31 × 10−6 RIU. In addition, the small area (61.56 µm2) of biosensor results in its appropriateness for different uses in compact photonic integrated circuits. Next, we changed the shape of the dielectric rods and investigated their effects on the sensitivity parameter. The sensitivity and figure of merit after changes in the shape of dielectric rods and nanocavities are at best S = 20,393 nm/RIU and FOM = 9104.017 ± 606.93 RIU−1, receptively. In addition, the resolution detection range is 203.93 × 10−6 RIU.

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APA

Chupradit, S., Ashfaq, S., Bokov, D., Suksatan, W., Jalil, A. T., Alanazi, A. M., & Sillanpaa, M. (2021, December 1). Ultra-sensitive biosensor with simultaneous detection (Of cancer and diabetes) and analysis of deformation effects on dielectric rods in optical microstructure. Coatings. Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/coatings11121564

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