• DocumentCode
    694542
  • Title

    Test and thoretical analysis of bio-aerosol spectrum

  • Author

    Haikuo Gao ; Shengnan Ma

  • Author_Institution
    Dept. of Phys. & Electron. Sci., Binzhou Univ., Binzhou, China
  • fYear
    2013
  • fDate
    12-13 Oct. 2013
  • Firstpage
    1115
  • Lastpage
    1118
  • Abstract
    This paper does a specific research of remote sensing for bio-aerosols and a numerical simulation is also finished. Tyrosine and tryptophan, two main fluorescence components in the bio-aerosols, is used to establish a model for quantitative analysis of fluorescence spectra by Partial Least Squares. The results show the feasibility to establish a model for the two amino acids on a certain condition - using the preprocessing of smoothing, subtracting the dark response and subtracting constant operation and the extreme points are selected in 300-500nm together with the points in 300-400nm using a step 10nm. The fine accuracy is 94.1% for Tyrosine and 82.7% for tryptophan.
  • Keywords
    aerosols; atmospheric composition; fluorescence; numerical analysis; organic compounds; remote sensing; amino acid; bio-aerosol main fluorescence component; bio-aerosol remote sensing specific research; bio-aerosol spectrum test analysis; bio-aerosol spectrum thoretical analysis; bio-aerosol tryptophan; bio-aerosol tyrosine; constant operation subtraction; dark response subtraction; extreme point; fluorescence spectra quantitative analysis model; model feasibility; numerical simulation; partial least square; smoothing preprocessing; tryptophan fine accuracy; tyrosine fine accuracy; Aerosols; Artificial neural networks; Biology; Biomedical optical imaging; Fluorescence; Laser radar; Lasers; bio-aerosols; fluorescence; quantitative analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2013.6967298
  • Filename
    6967298