Odor source shape visualization by multispectral fluorescence sensing

Hiro Taka Yoshioka, Chuanjun Liu, Kenshi Hayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A multi-probe based multispectral fluorescence imaging sensor was developed to visually discriminate odor sources in environment. The sensing mechanism was based on the complicated fluorescence interactions of between the multi-probes and the probes with odor molecules. The fluorescence change of a probes-containing gel film caused by odorant substances was recorded by CCD camera to visualize the shape of odor source. In this work, odor sources with complicated shapes were used to investigate the spatial resolution of the imaging sensor. The result demonstrated that the spatial resolution of our sensor has discrimination ability higher than 5 mm. In addition, the concentration estimation of each odorant in mixed odor sources was attempted. By using principle component analysis (PCA) and multiple regression analysis, the individual concentration of an acid/aldehyde mixed odor sources was analyzed successfully.

Original languageEnglish
Title of host publication2015 IEEE SENSORS - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479982028
DOIs
Publication statusPublished - Dec 31 2015
Event14th IEEE SENSORS - Busan, Korea, Republic of
Duration: Nov 1 2015Nov 4 2015

Publication series

Name2015 IEEE SENSORS - Proceedings

Other

Other14th IEEE SENSORS
CountryKorea, Republic of
CityBusan
Period11/1/1511/4/15

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electronic, Optical and Magnetic Materials
  • Spectroscopy
  • Electrical and Electronic Engineering

Cite this

Yoshioka, H. T., Liu, C., & Hayashi, K. (2015). Odor source shape visualization by multispectral fluorescence sensing. In 2015 IEEE SENSORS - Proceedings [7370176] (2015 IEEE SENSORS - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSENS.2015.7370176