A41A-0045
Fullerene Soot in Eastern China Air: Results from Soot Particle-Aerosol Mass Spectrometer

Thursday, 17 December 2015
Poster Hall (Moscone South)
Junfeng Wang1, Xinlei Ge1, Mindong Chen2, Qi Zhang3, Huan Yu1, Yele Sun4, Douglas R Worsnop5 and Sonya Collier3, (1)NUIST Nanjing University of Information Science and Technology, Nanjing, China, (2)NUIST Nanjing University of Information Science and Technology, School of Environmental Science and Engineering, Nanjing, China, (3)University of California Davis, Davis, CA, United States, (4)IAP, CAS, Beijing, China, (5)Aerodyne Research Inc., Billerica, MA, United States
Abstract:
In this work, we present for the first time, the observation and quantification of fullerenes in ambient airborne particulate using an Aerodyne Soot Particle - Aerosol Mass Spectrometer (SP-AMS) deployed during 2015 winter in suburban Nanjing, a megacity in eastern China. The laser desorption and electron impact ionization techniques employed by the SP-AMS allow us to differentiate various fullerenes from other aerosol components. Mass spectrum of the identified fullerene soot is consisted by a series of high molecular weight carbon clusters (up to m/z of 2000 in this study), almost identical to the spectral features of commercially available fullerene soot, both with C70 and C60 clusters as the first and second most abundant species. This type of soot was observed throughout the entire study period, with an average mass loading of 0.18 µg/m3, accounting for 6.4% of the black carbon mass, 1.2% of the total organic mass. Temporal variation and diurnal pattern of fullerene soot are overall similar to those of black carbon, but are clearly different in some periods. Combining the positive matrix factorization, back-trajectory and analyses of the meteorological parameters, we identified the petrochemical industrial plants situating upwind from the sampling site, as the major source of fullerene soot. In this regard, our findings imply the ubiquitous presence of fullerene soot in ambient air of industry-influenced area, especially the oil and gas production regions. This study also offers new insights into the characterization of fullerenes from other environmental samples via the advanced SP-AMS technique.