AAAR 36th Annual Conference October 16 - October 20, 2017 Raleigh Convention Center Raleigh, North Carolina, USA
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Data Processing, Fluorescence Removal, and Database Matching of Crustal Aerosols Using Raman Spectroscopy
DAVID DOUGHTY, Steven Hill, US Army Research Lab
Abstract Number: 388 Working Group: Remote and Regional Atmospheric Aerosols
Abstract Raman spectroscopy can provide information about the physico-chemical composition of atmospheric aerosol particles. We use a semi-continuous aerosol Raman spectrometer (Battelle’s REBS) to take Raman images of deposited aerosol particles. We discuss several methods for automatically removing fluorescence from Raman spectra. We look at the relationships between fluorescence of particles and Raman spectra of particles, and show that for some particles, there are strong relationships, whereas for other particle types, the relationships are weaker. The resultant Raman images are then clustered and analyzed for composition. Database matching tools are used for identification of aerosol composition and identification of crustal dust particles (using the RRUFF database and other data), from both laboratory and ambient examples, and analyze Arizona test dust, kaolin, and sand from White Sands, New Mexico.