The Characterization of Fine Particulate Matter in Toronto Using Single Particle Mass Spectrometry

• Main Author: Rehbein, Peter J. G.
• Other Authors: Evans, Greg J.
• Language: en_ca
• Published: 2010
• Subjects: atmospheric aerosol; single particle mass spectrometry; particulate matter; amine; particle characterization; source apportionment; cluster analysis; aerosol time-of-flight mass spectrometer; 0725; 0542
• Online Access: http://hdl.handle.net/1807/25904

An Aerosol Time-of-Flight Mass Spectrometer (ATOFMS) was used to obtain mass spectra of individual aerosol particles in the 0.5 – 2 µm size range in downtown Toronto, Canada for one to two month periods during each season of 2007. A modified version of the Adaptive Resonance Theory (ART-2a) clustering algorithm, which clusters particles based on the similarity of their mass spectra, was shown to be more accurate than the existing algorithm and was used to cluster the ambient data. A total of 21 unique particle types were identified and were characterized based on their chemical composition, their size, and their temporal trends and seasonal variations. Potential sources are also discussed. Particles containing trimethylamine (TMA) were also observed and a more detailed investigation of ambient trends in conjunction with a laboratory experiment was performed in order to elucidate conditions for which TMA will be observed in the particle phase in Southern Ontario.