Statistical Modelling of Photonic Crystal Fibre Based Surface Plasmon Resonance Sensors Resonant Peak Wavelength for Tolerance Studies.

Tytuł:: Statistical Modelling of Photonic Crystal Fibre Based Surface Plasmon Resonance Sensors Resonant Peak Wavelength for Tolerance Studies.
Autorzy:: Osifeso S; School of Engineering, Fraser Noble Building, University of Aberdeen, Aberdeen AB24 3UE, UK.
Chu S; Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1XL, UK.
Nakkeeran K; School of Engineering, Fraser Noble Building, University of Aberdeen, Aberdeen AB24 3UE, UK.
Źródło:: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Oct 03; Vol. 21 (19). Date of Electronic Publication: 2021 Oct 03.
Typ publikacji:: Journal Article
Język:: English
Imprint Name(s):: Original Publication: Basel, Switzerland : MDPI, c2000-
MeSH Terms:: Optics and Photonics*
Surface Plasmon Resonance*
Gold ; Optical Fibers ; Photons
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Contributed Indexing:: Keywords: design of experiments; finite element method; hollow-core; metal coating; photonic crystal fibre; refractive index; resonant peak wavelength; sensor; surface plasmon resonance; tolerance
Substance Nomenclature:: 7440-57-5 (Gold)
Entry Date(s):: Date Created: 20211013 Date Completed: 20211014 Latest Revision: 20240403
Update Code:: 20240403
PubMed Central ID:: PMC8512521
DOI:: 10.3390/s21196603
PMID:: 34640923
: Czasopismo naukowe

Pełny tekst

We report a statistical approach to model the resonant peak wavelength (RPW) equation(s) of a photonic crystal fibre (PCF)-based surface plasmon resonance (SPR) sensors in terms of the PCF structural parameters (air-hole diameter, pitch, core diameter and gold layer thickness) at various tolerance levels. Design of experiments (statistical tool) is used to investigate the role played by the PCF structural parameters for sensing performance evaluation-RPW, across three tolerance levels (±2%, ±5% and ±10%). Pitch of the hollow-core PCF was discovered to be the major influencing parameter for the sensing performance (RPW) of the PCF-based SPR sensor while the inner metal (gold) layer thickness and core diameter are the least contributing parameters. This novel statistical method to derive the sensing performance parameter(s) of the PCF-based SPR sensors can be applied effectively and efficiently in the designing, characterisation, tolerance analysis not only at the research level, but also in optical fibre sensor fabrication industry to improve efficiency and lower cost.

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