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

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Article number6603
Number of pages19
JournalSensors
Volume21
Issue number19
Early online date3 Oct 2021
DOIs
Publication statusPublished - 3 Oct 2021

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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