The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Chemically-resolved aerosol volatility measurements from two megacity field studies
Open accessAbstract
Abstract. The volatilities of different chemical species in ambient aerosols are important but remain poorly characterized. The coupling of a recently developed rapid temperature-stepping thermodenuder (TD, operated in the range 54–230°C) with a High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS) during field studies in two polluted megacities has enabled the first direct characterization of chemically-resolved urban particle volatility. Measurements in Riverside, CA and Mexico City are generally consistent and show ambient nitrate as having the highest volatility of any AMS standard aerosol species while sulfate showed the lowest volatility. Total organic aerosol (OA) showed volatility intermediate between nitrate and sulfate, with an evaporation rate of 0.6%·K−1 near ambient temperature, although OA dominates the residual species at the highest temperatures. Different types of OA were characterized with marker ions, diurnal cycles, and positive matrix factorization (PMF) and show significant differences in volatility. Reduced hydrocarbon-like OA (HOA, a surrogate for primary OA, POA), oxygenated OA (OOA, a surrogate for secondary OA, SOA), and biomass-burning OA (BBOA) separated with PMF were all determined to be semi-volatile. The most aged OOA-1 and its dominant ion, CO2+, consistently exhibited the lowest volatility, with HOA, BBOA, and associated ions for each among the highest. The similar or higher volatility of HOA/POA compared to OOA/SOA contradicts the current representations of OA volatility in most atmospheric models and has important implications for aerosol growth and lifetime. A new technique using the AMS background signal was demonstrated to quantify the fraction of species up to four orders-of-magnitude less volatile than those detectable in the MS mode, which for OA represent ~5% of the non-refractory (NR) OA signal. Our results strongly imply that all OA types should be considered semivolatile in models. The study in Riverside identified organosulfur species (e.g. CH3HSO3+ ion, likely from methanesulfonic acid), while both studies identified ions indicative of amines (e.g. C5H12N+) with very different volatility behaviors than inorganic-dominated ions. The oxygen-to-carbon ratio of OA in each ambient study was shown to increase both with TD temperature and from morning to afternoon, while the hydrogen-to-carbon ratio showed the opposite trend.
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Cites
The formation, properties and impact of secondary organic aerosol: current and emerging issues
Hallquist, M., Wenger, J. C., Baltensperger, U., Rudich, Y., Simpson, D., Claeys, M., Dommen, J., Donahue, N. M., George, C., Goldstein, A. H., et al. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-5155-2009 · Cited by 4,031
Self-citationOrganic aerosol and global climate modelling: a review
Kanakidou, M., Seinfeld, J. H., Pandis, S. N., Barnes, I., Dentener, F. J., Facchini, M. C., Van Dingenen, R., Ervens, B., Nenes, A., Nielsen, C. J., et al. (2005) · Atmospheric Chemistry and Physics · doi:10.5194/acp-5-1053-2005 · Cited by 3,244
Zhang, Q., Jimenez, J. L., Canagaratna, M. R., Allan, J. D., Coe, H., Ulbrich, I., Alfarra, M. R., Takami, A., Middlebrook, A. M., Sun, Y. L., et al. (2007) · Geophysical Research Letters · doi:10.1029/2007gl029979 · Cited by 2,452
Self-citationField-Deployable, High-Resolution, Time-of-Flight Aerosol Mass Spectrometer
DeCarlo, P. F., Kimmel, J. R., Trimborn, A., Northway, M. J., Jayne, J. T., Aiken, A. C., Gonin, M., Fuhrer, K., Horvath, T., Docherty, K. S., et al. (2006) · Analytical Chemistry · doi:10.1021/ac061249n · Cited by 2,149
Self-citationRethinking Organic Aerosols: Semivolatile Emissions and Photochemical Aging
Robinson, A. L., Donahue, N. M., Shrivastava, M. K., Weitkamp, E. A., Sage, A. M., Grieshop, A. P., Lane, T. E., Pierce, J. R., & Pandis, S. N. (2007) · Science · doi:10.1126/science.1133061 · Cited by 1,943
Canagaratna, M. R., Jayne, J. T., Jimenez, J. L., Allan, J. D., Alfarra, M. R., Zhang, Q., Onasch, T. B., Drewnick, F., Coe, H., Middlebrook, A., et al. (2007) · Mass Spectrometry Reviews · doi:10.1002/mas.20115 · Cited by 1,846
Self-citationINTERPRETATION OF MASS SPECTRA
(1991) · Analytical Chemistry · doi:10.1021/ac00022a726 · Cited by 1,840
Development of an Aerosol Mass Spectrometer for Size and Composition Analysis of Submicron Particles
Jayne, J. T., Leard, D. C., Zhang, X., Davidovits, P., Smith, K. A., Kolb, C. E., & Worsnop, D. R. (2000) · Aerosol Science and Technology · doi:10.1080/027868200410840 · Cited by 1,604
Self-citationUlbrich, I. M., Canagaratna, M. R., Zhang, Q., Worsnop, D. R., & Jimenez, J. L. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-2891-2009 · Cited by 1,534
Self-citationCoupled Partitioning, Dilution, and Chemical Aging of Semivolatile Organics
Donahue, N. M., Robinson, A. L., Stanier, C. O., & Pandis, S. N. (2006) · Environmental Science & Technology · doi:10.1021/es052297c · Cited by 1,525
Cited by
Evolution of Organic Aerosols in the Atmosphere
Jimenez, J. L., Canagaratna, M. R., Donahue, N. M., Prevot, A. S. H., Zhang, Q., Kroll, J. H., DeCarlo, P. F., Allan, J. D., Coe, H., Ng, N. L., et al. (2009) · Science · doi:10.1126/science.1180353 · Cited by 4,167
Self-citationUlbrich, I. M., Canagaratna, M. R., Zhang, Q., Worsnop, D. R., & Jimenez, J. L. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-2891-2009 · Cited by 1,534
Self-citationA two-dimensional volatility basis set – Part 2: Diagnostics of organic-aerosol evolution
Donahue, N. M., Kroll, J. H., Pandis, S. N., & Robinson, A. L. (2012) · Atmospheric Chemistry and Physics · doi:10.5194/acp-12-615-2012 · Cited by 657
Aiken, A. C., Salcedo, D., Cubison, M. J., Huffman, J. A., DeCarlo, P. F., Ulbrich, I. M., Docherty, K. S., Sueper, D., Kimmel, J. R., Worsnop, D. R., et al. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-6633-2009 · Cited by 549
Self-citationMolina, L. T., Madronich, S., Gaffney, J. S., Apel, E., de Foy, B., Fast, J., Ferrare, R., Herndon, S., Jimenez, J. L., Lamb, B., et al. (2010) · Atmospheric Chemistry and Physics · doi:10.5194/acp-10-8697-2010 · Cited by 375
Self-citation
Metadata
- Authors
- Huffman, J. A., Docherty, K. S., Aiken, A. C., Cubison, M. J., Ulbrich, I. M., DeCarlo, P. F., Sueper, D., Jayne, J. T., Worsnop, D. R., Ziemann, P. J., & Jimenez, J. L.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2009-09-28
- Volume
- 9
- Issue
- 18
- Pages
- 7161-7182
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2121941478
- Cited by
- 334
- References
- 65
- FWCI
- 18.33
- Type
- journal article
- Language
- en
- Open access
- gold
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