Intelligent information processing of Fiber Bragg Grating biosensor for stress monitoring in microfluidics system

Zijun Zhang, Zhenghao Lu, Jing Wang, Han Pan, Peiyun Li, Xiaoyao Li

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

A Fiber Bragg Grating (FBG) biosensor with good biocompatibility promises label-free, anti-electromagnetic interference, and non-destructive detection of stress monitoring, it holds the potential to rapidly identify the stress changes in microfluidics systems. Based on signal processing, the correlation between wavelength shift in FBG and flowrate is discussed, an alternative to manual processing of wavelength offset calculation is analyzed, and the automatic selection of FBG wavelength change under high noise conditions is realized. In addition, we propose some technologies of intelligent processing algorithms such as machine learning (BP—back propagation neural network) and moving average. Finally, the feasibility and stability of the signal processing method are verified by experimental validation and multiple data sets testing. This study provides a promising intelligent information processing strategy for rapid and accurate stress sensing of microfluidics systems.

Original languageEnglish
Title of host publicationThird International Computing Imaging Conference, CITA 2023
EditorsXiaopeng Shao
PublisherSPIE
ISBN (Electronic)9781510671409
DOIs
Publication statusPublished - 2023
Event3rd International Computing Imaging Conference, CITA 2023 - Sydney, Australia
Duration: 1 Jun 20233 Jun 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12921
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference3rd International Computing Imaging Conference, CITA 2023
Country/TerritoryAustralia
CitySydney
Period1/06/233/06/23

Keywords

  • Biosensor
  • Fiber Bragg Grating (FBG)
  • Intelligent information processing
  • Machine learning
  • Microfluidics
  • Stress Monitoring

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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