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Characterization of the water soluble fraction in ultrafine, fine, and coarse atmospheric aerosol.

Authors :
Barbaro, Elena
Feltracco, Matteo
Cesari, Daniela
Padoan, Sara
Zangrando, Roberta
Contini, Daniele
Barbante, Carlo
Gambaro, Andrea
Source :
Science of the Total Environment. Mar2019, Vol. 658, p1423-1439. 17p.
Publication Year :
2019

Abstract

Abstract Water soluble organic carbon significantly contributes to aerosol's carbon mass and its chemical composition is poorly characterized due to the huge number of species. In this study, we determined 94 water-soluble compounds: inorganic ions (Cl−, Br−, I−, NO 3 −, SO 4 2−,K+, Mg+, Na+, NH 4 +, Ca2+), organic acids (methanesulfonic acid and C 2 -C 7 carboxylic acids), monosaccharides, alcohol-sugars, levoglucosan and its isomers, sucrose, phenolic compounds, free l - and d -amino acids and photo-oxidation products of α-pinene (cis-pinonic acid and pinic acid). The sampling was conducted using a micro-orifice uniform deposit impactor (MOUDI) at the urban area of Mestre-Venice from March to May 2016. The main aim of this work is to identify the source of each detected compound, evaluating its particle size distribution. Clear differences in size distributions were observed for each class of analyzed compounds. The positive matrix factorization (PMF) model was used to identify six factors related to different sources: a) primary biogenic aerosol particles with particle size > 10 μm; b) secondary sulfate contribution; c) biomass burning; d) primary biogenic aerosol particles distributed between 10 and 1 μm; e) an aged sea salt input and f) SOA pinene. Each factor was also characterized by different composition in waters soluble compounds and different particles size distribution. Graphical abstract Unlabelled Image Highlights • Determination of 94 water soluble compounds in ultrafine, fine and coarse aerosol • Particle size distribution of l - and d -amino acids in urban aerosol • Factor analysis identified different sources for free amino acids and sugars. • Six different sources were identified with positive matrix factorization. • Each identified source had a specific particle size distribution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00489697
Volume :
658
Database :
Academic Search Index
Journal :
Science of the Total Environment
Publication Type :
Academic Journal
Accession number :
134205243
Full Text :
https://doi.org/10.1016/j.scitotenv.2018.12.298