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

Samuel  Osifeso; Suoda Chu; K. Nakkeeran

doi:10.3390/s21196603

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

Samuel Osifeso, Suoda Chu, K. Nakkeeran ^* (Corresponding Author)

^*Corresponding author for this work

University of Strathclyde

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

5 Downloads (Pure)

Abstract

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.

Original language	English
Article number	6603
Number of pages	19
Journal	Sensors
Volume	21
Issue number	19
Early online date	3 Oct 2021
DOIs	https://doi.org/10.3390/s21196603
Publication status	Published - 3 Oct 2021

Bibliographical note

Funding: This research received no external funding.
Acknowledgments: The authors thank Dr. Alison Nordon for the useful discussion. Samuel Osifeso acknowledges the award of a PhD scholarship by Tertiary Education Trust Fund (TETFund). Suoda Chu acknowledges the award of a Postdoc fellowship by the Community for Analytical Measurement Science (CAMS).

Keywords

resonant peak wavelength
tolerance
design of experiments
hollow-core
photonic crystal fibre
surface plasmon resonance
refractive index
sensor
finite element method
metal coating

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Osifeso_etal_MDPI_Statistical_Modelling_Of_VoR
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Final published version, 3.65 MBLicence: CC BY

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title = "Statistical Modelling of Photonic Crystal Fibre based Surface Plasmon Resonance Sensors Resonant Peak Wavelength for Tolerance Studies",

abstract = "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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author = "Samuel Osifeso and Suoda Chu and K. Nakkeeran",

note = "Funding: This research received no external funding. Acknowledgments: The authors thank Dr. Alison Nordon for the useful discussion. Samuel Osifeso acknowledges the award of a PhD scholarship by Tertiary Education Trust Fund (TETFund). Suoda Chu acknowledges the award of a Postdoc fellowship by the Community for Analytical Measurement Science (CAMS).",

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AU - Chu, Suoda

AU - Nakkeeran , K.

N1 - Funding: This research received no external funding. Acknowledgments: The authors thank Dr. Alison Nordon for the useful discussion. Samuel Osifeso acknowledges the award of a PhD scholarship by Tertiary Education Trust Fund (TETFund). Suoda Chu acknowledges the award of a Postdoc fellowship by the Community for Analytical Measurement Science (CAMS).

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N2 - 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.

AB - 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.

KW - resonant peak wavelength

KW - tolerance

KW - design of experiments

KW - hollow-core

KW - photonic crystal fibre

KW - surface plasmon resonance

KW - refractive index

KW - sensor

KW - finite element method

KW - metal coating

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DO - 10.3390/s21196603

M3 - Article

SN - 1424-8220

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JO - Sensors

JF - Sensors

IS - 19

M1 - 6603

ER -

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

Abstract

Bibliographical note

Keywords

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