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
Link To Document