High performance dual core D-shape PCF-SPR sensor modeling employing gold coat

•To illustrate numerically a High Sensitivity D Shaped Dual Core Photonic Crystal Fiber SPR Biosensor modeling employing gold coat.•To investigate Sensing characteristics with the modal analysis based finite element method (FEM) incorporating COMSOL multiphysics software. In this paper, an enhanced...

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Veröffentlicht in:Results in physics 2019-12, Vol.15, p.102788, Article 102788
Hauptverfasser: Sakib, Md. Nazmus, Hossain, Mb. Biplob, Al-tabatabaie, Kusay Faisal, Mehedi, Ibrahim Mustafa, Hasan, Md. Tanvir, Hossain, Md. Amzad, Amiri, I.S.
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Sprache:eng
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Zusammenfassung:•To illustrate numerically a High Sensitivity D Shaped Dual Core Photonic Crystal Fiber SPR Biosensor modeling employing gold coat.•To investigate Sensing characteristics with the modal analysis based finite element method (FEM) incorporating COMSOL multiphysics software. In this paper, an enhanced performance of dual core D-shape photonic crystal fiber utilizing surface plasmon resonance (DD-PCF-SPR) based sensor is numerically proposed and analyzed. The thickness of gold and pitch parameter are optimized to 30 nm and 1.9 um, respectively, which ensures superior sensor performance. It is revealed; at optimized geometrical parameter, the offered sensor displays a supreme wavelength sensitivity of 8000 nm/RIU, wavelength resolution of 1.25 × 10−5 RIU, a supreme amplitude sensitivity of 700 RIU−1, amplitude resolution 1.7857 × 10−5 RIU and a figure of merit (FoM) of 138 RIU−1 due to the analyte refractive index changing from 1.47 RIU to 1.48 RIU. The identifying features are investigated using modal analysis based finite element method (FEM) incorporating COMSOL commercial software. Finally, a relative review is executed comparing amplitude sensitivity, resolution and wavelength sensitivity of the offered sensor with previously reported sensors. As high sensitivity, simple structure, and tremendous linear polynomial characteristics, the offered sensor will be a talented candidate for the detection of various biochemical and biological samples (DNA, mRNA, proteins, sugar).
ISSN:2211-3797
2211-3797
DOI:10.1016/j.rinp.2019.102788