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
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;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
DOI :
10.1109/ICCSNT.2013.6967298