Polarization detection analysis of dual-channel surface plasmon resonance sensing for silicone oils based on the D-shaped fiber with a central hole
Autor: | Li Xia, Deming Liu, Wei Li, Binbin Shuai |
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Rok vydání: | 2012 |
Předmět: |
Materials science
business.industry Surface plasmon Physics::Optics Polarization (waves) Surface plasmon polariton Atomic and Molecular Physics and Optics Silicone oil Electronic Optical and Magnetic Materials chemistry.chemical_compound Optics chemistry Demodulation Electrical and Electronic Engineering Physical and Theoretical Chemistry Surface plasmon resonance business Refractive index Localized surface plasmon |
Zdroj: | Optics Communications. 285:3730-3734 |
ISSN: | 0030-4018 |
DOI: | 10.1016/j.optcom.2012.05.001 |
Popis: | We present and numerically characterize a dual channel surface plasmon resonance (SPR) sensor based on a D-shaped fiber with a central hole for silicone oil detections. The proposed design incorporates two metalized channels to facilitate the simultaneous detection of one group of silicone oils, which can consist of two different species. It has been demonstrated that the p-polarized input light can induce two peaks among surface plasmon resonance places, which come from the coupling between the core-guided mode and the fundamental surface plasmon polariton (SPP) modes at the D-shaped surface and around the central hole surface. However, the s-polarized input light can only induce one peak among surface plasmon resonance places, which comes from the coupling between the core-guided mode and the fundamental SPP mode around the central hole surface. The simulation results show that the characteristic responses of two channels independently correspond to the refractive index variations in the silicone oils with which they are in contact. A maximum sensitivity of 3500 nm/RIU (refractive index unit) and 4400 nm/RIU are achieved for channel A and B, respectively. This kind of sensor structure and polarization related demodulation method is promising in the simultaneous multi-analytes sensing applications in the future. |
Databáze: | OpenAIRE |
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