On-Chip Oval-Shaped Nanocavity Photonic Crystal Waveguide Biosensor for Detection of Foodborne Pathogens

A photonic crystal waveguide (PCW) biosensor is proposed for the detection of foodborne pathogens. Various semiconductor materials and insulator with higher to lower refractive indices (Si, GaAs, Si 3 N 4 , and SiO 2 ) are analyzed to fix the choice of material in PCW design. The design and analysis...

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Bibliographic Details
Published in:Plasmonics (Norwell, Mass.) Mass.), 2018-04, Vol.13 (2), p.445-449
Main Authors: Painam, Balveer, Kaler, R. S., Kumar, Mukesh
Format: Article
Language:English
Subjects:
Biochemistry
Biological and Medical Physics
Biophysics
Biosensors
Biotechnology
Chemistry
Chemistry and Materials Science
Computer simulation
Crystal defects
Design analysis
Design defects
E coli
Finite difference time domain method
Food irradiation
Food processing industry
Gallium arsenide
Infrared analysis
Materials selection
Nanotechnology
Pathogens
Photonic crystals
Refractivity
Semiconductor materials
Sensitivity analysis
Silicon dioxide
Simulation
Time domain analysis
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Summary:A photonic crystal waveguide (PCW) biosensor is proposed for the detection of foodborne pathogens. Various semiconductor materials and insulator with higher to lower refractive indices (Si, GaAs, Si 3 N 4 , and SiO 2 ) are analyzed to fix the choice of material in PCW design. The design and analysis are performed using finite difference time domain (FDTD) simulation method. The design exhibits two inverted J-shaped defects with center cavity designed in the shape of Escherichia coli . In this research, DH5α strain of E . coli foodborne pathogens is considered as a model due to its shape. Simulation of PCW design is performed using infrared radiation (1 and 1.55 μm) wavelengths. Simulation analysis reports larger resonance wavelength shifts, higher sensitivities, and quality factors for Si-based PCW biosensor at an operating wavelength of 1.55 μm.
ISSN:1557-1955
1557-1963
DOI:10.1007/s11468-017-0529-x