Articles | Volume 20, issue 12
https://doi.org/10.5194/acp-20-7139-2020
https://doi.org/10.5194/acp-20-7139-2020
Research article
 | 
18 Jun 2020
Research article |  | 18 Jun 2020

Resonance-enhanced detection of metals in aerosols using single-particle mass spectrometry

Johannes Passig, Julian Schade, Ellen Iva Rosewig, Robert Irsig, Thomas Kröger-Badge, Hendryk Czech, Martin Sklorz, Thorsten Streibel, Lei Li, Xue Li, Zhen Zhou, Henrik Fallgren, Jana Moldanova, and Ralf Zimmermann

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Cited articles

Arndt, J., Sciare, J., Mallet, M., Roberts, G. C., Marchand, N., Sartelet, K., Sellegri, K., Dulac, F., Healy, R. M., and Wenger, J. C.: Sources and mixing state of summertime background aerosol in the north-western Mediterranean basin, Atmos. Chem. Phys., 17, 6975–7001, https://doi.org/10.5194/acp-17-6975-2017, 2017. 
Ault, A. P., Gaston, C. I., Wang, Y., Dominguez, G., Thiemens, M. H., and Prather, K. A.: Characterization of the single particle mixing state of individual ship plume events measured at the Port of Los Angeles, Environ. Sci. Technol., 44, 1954–1961, https://doi.org/10.1021/es902985h, 2010. 
Bente, M., Sklorz, M., Streibel, T., and Zimmermann, R.: Online laser desorption-multiphoton postionization mass spectrometry of individual aerosol particles: molecular source indicators for particles emitted from different traffic-related and wood combustion sources, Anal. Chem., 80, 8991–9004, https://doi.org/10.1021/ac801295f, 2008. 
Bente, M., Sklorz, M., Streibel, T., and Zimmermann, R.: Thermal desorption-multiphoton ionization time-of-flight mass spectrometry of individual aerosol particles: a simplified approach for online single-particle analysis of polycyclic aromatic hydrocarbons and their derivatives, Anal. Chem., 81, 2525–2536, https://doi.org/10.1021/ac802296f, 2009. 
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Short summary
Particle-bound metals in both natural dusts and polluted air can induce severe health effects. They are also transported by the wind into the oceans; provide micronutrients; and thus modulate biodiversity, fisheries, and climate. We show a way to more efficiently detect metals in individual particles while preserving source information. Our detection scheme is less dependent on the particle type and atmospheric changes and is thus valuable to the study of biogechemical cycles and air pollution.
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