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Optimization of photonic crystal fiber biosensor by particle swarm algorithm
Author(s): Doaa Mohamed; Eman Mohamed; A. M. Heikal; Mohamed Farhat O. Hameed; S. S. A. Obayya
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Paper Abstract

A hexagonal shape surface plasmon photonic crystal fiber (PCF) biosensor is reported and studied numerically. The proposed design has three identical cores along the y-axis filled with liquid (analyte). Additionally, the central core is coated by a gold layer to facilitate the coupling among the plasmonic modes and the core fundamental modes. A full vectorial finite element method is used to analyze the proposed sensor with a perfectly matched layer boundary condition. Further, the particle swarm optimization (PSO) technique is used to optimize and improve the sensitivity of the presented sensor as well as reduce the sensor’s size. Through the optimization process, the diameters of the three cores, and the thicknesses of the gold layer are fluctuated. For a wavelength range 1.46-1.47, the sensitivity of the proposed sensor is 4000 nm/RIU.

Paper Details

Date Published: 4 May 2018
PDF: 6 pages
Proc. SPIE 10672, Nanophotonics VII, 106722T (4 May 2018); doi: 10.1117/12.2306635
Show Author Affiliations
Doaa Mohamed, Mansoura Univ. (Egypt)
Eman Mohamed, Mansoura Univ. (Egypt)
A. M. Heikal, Zewail City of Science and Technology (Egypt)
Mansoura Univ. (Egypt)
Mohamed Farhat O. Hameed, Zewail City of Science and Technology (Egypt)
Mansoura Univ. (Egypt)
S. S. A. Obayya, Zewail City of Science and Technology (Egypt)
Mansoura Univ. (Egypt)


Published in SPIE Proceedings Vol. 10672:
Nanophotonics VII
David L. Andrews; Angus J. Bain; Jean-Michel Nunzi; Andreas Ostendorf, Editor(s)

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