Articles | Volume 20, issue 12
https://doi.org/10.5194/acp-20-7139-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-7139-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jun 2020
Research article |
| 18 Jun 2020
| 18 Jun 2020
Resonance-enhanced detection of metals in aerosols using single-particle mass spectrometry
Johannes Passig
CORRESPONDING AUTHOR
Joint Mass Spectrometry Centre, Cooperation Group “Comprehensive
Molecular Analytics” (CMA), Helmholtz Zentrum München, 85764 Neuherberg,
Germany
Joint Mass Spectrometry Centre, Chair of Analytical Chemistry,
University Rostock, 18059 Rostock, Germany
Department Life, Light & Matter, University of Rostock, 18051
Rostock, Germany
Julian Schade
Joint Mass Spectrometry Centre, Chair of Analytical Chemistry,
University Rostock, 18059 Rostock, Germany
Department Life, Light & Matter, University of Rostock, 18051
Rostock, Germany
Ellen Iva Rosewig
Joint Mass Spectrometry Centre, Chair of Analytical Chemistry,
University Rostock, 18059 Rostock, Germany
Department Life, Light & Matter, University of Rostock, 18051
Rostock, Germany
Robert Irsig
Department Life, Light & Matter, University of Rostock, 18051
Rostock, Germany
Photonion GmbH, 19061 Schwerin, Germany
Thomas Kröger-Badge
Joint Mass Spectrometry Centre, Chair of Analytical Chemistry,
University Rostock, 18059 Rostock, Germany
Department Life, Light & Matter, University of Rostock, 18051
Rostock, Germany
Hendryk Czech
Joint Mass Spectrometry Centre, Cooperation Group “Comprehensive
Molecular Analytics” (CMA), Helmholtz Zentrum München, 85764 Neuherberg,
Germany
Joint Mass Spectrometry Centre, Chair of Analytical Chemistry,
University Rostock, 18059 Rostock, Germany
Department Life, Light & Matter, University of Rostock, 18051
Rostock, Germany
Martin Sklorz
Joint Mass Spectrometry Centre, Cooperation Group “Comprehensive
Molecular Analytics” (CMA), Helmholtz Zentrum München, 85764 Neuherberg,
Germany
Thorsten Streibel
Joint Mass Spectrometry Centre, Cooperation Group “Comprehensive
Molecular Analytics” (CMA), Helmholtz Zentrum München, 85764 Neuherberg,
Germany
Joint Mass Spectrometry Centre, Chair of Analytical Chemistry,
University Rostock, 18059 Rostock, Germany
Lei Li
Institute of Mass Spectrometry and Atmospheric Environment, Jinan
University, Guangzhou 510632, China
Guangzhou Hexin Instrument Co., Ltd,
Guangzhou 510530, China
Xue Li
Institute of Mass Spectrometry and Atmospheric Environment, Jinan
University, Guangzhou 510632, China
Guangzhou Hexin Instrument Co., Ltd,
Guangzhou 510530, China
Zhen Zhou
Institute of Mass Spectrometry and Atmospheric Environment, Jinan
University, Guangzhou 510632, China
Guangzhou Hexin Instrument Co., Ltd,
Guangzhou 510530, China
Henrik Fallgren
IVL Swedish Environmental Research Institute, 411 33 Gothenburg,
Sweden
Jana Moldanova
IVL Swedish Environmental Research Institute, 411 33 Gothenburg,
Sweden
Ralf Zimmermann
Joint Mass Spectrometry Centre, Cooperation Group “Comprehensive
Molecular Analytics” (CMA), Helmholtz Zentrum München, 85764 Neuherberg,
Germany
Joint Mass Spectrometry Centre, Chair of Analytical Chemistry,
University Rostock, 18059 Rostock, Germany
Department Life, Light & Matter, University of Rostock, 18051
Rostock, Germany
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Cited
9 citations as recorded by crossref.
- Laser-driven ionization mechanisms of aluminum for single particle aerosol mass spectrometry A. Lietz et al. 10.1016/j.sab.2022.106543
- Laser-Pulse-Length Effects in Ultrafast Laser Desorption M. Schmidt et al. 10.1021/acs.analchem.3c03558
- Detection of ship plumes from residual fuel operation in emission control areas using single-particle mass spectrometry J. Passig et al. 10.5194/amt-14-4171-2021
- 1D-CNN Network Based Real-Time Aerosol Particle Classification With Single-Particle Mass Spectrometry G. Wang et al. 10.1109/LSENS.2023.3315554
- Single-particle characterization of polycyclic aromatic hydrocarbons in background air in northern Europe J. Passig et al. 10.5194/acp-22-1495-2022
- Detection of ship emissions from distillate fuel operation via single-particle profiling of polycyclic aromatic hydrocarbons L. Anders et al. 10.1039/D3EA00056G
- Remote Detection of Different Marine Fuels in Exhaust Plumes by Onboard Measurements in the Baltic Sea Using Single-Particle Mass Spectrometry E. Rosewig et al. 10.3390/atmos14050849
- Insights on the Working Principles of Secondary Electrospray Ionization High-Resolution Mass Spectrometry for Quantitative Analysis of Aerosol Chemical Composition X. Xu et al. 10.1007/s41810-021-00091-9
- Machine learning approaches for automatic classification of single-particle mass spectrometry data G. Wang et al. 10.5194/amt-17-299-2024
9 citations as recorded by crossref.
- Laser-driven ionization mechanisms of aluminum for single particle aerosol mass spectrometry A. Lietz et al. 10.1016/j.sab.2022.106543
- Laser-Pulse-Length Effects in Ultrafast Laser Desorption M. Schmidt et al. 10.1021/acs.analchem.3c03558
- Detection of ship plumes from residual fuel operation in emission control areas using single-particle mass spectrometry J. Passig et al. 10.5194/amt-14-4171-2021
- 1D-CNN Network Based Real-Time Aerosol Particle Classification With Single-Particle Mass Spectrometry G. Wang et al. 10.1109/LSENS.2023.3315554
- Single-particle characterization of polycyclic aromatic hydrocarbons in background air in northern Europe J. Passig et al. 10.5194/acp-22-1495-2022
- Detection of ship emissions from distillate fuel operation via single-particle profiling of polycyclic aromatic hydrocarbons L. Anders et al. 10.1039/D3EA00056G
- Remote Detection of Different Marine Fuels in Exhaust Plumes by Onboard Measurements in the Baltic Sea Using Single-Particle Mass Spectrometry E. Rosewig et al. 10.3390/atmos14050849
- Insights on the Working Principles of Secondary Electrospray Ionization High-Resolution Mass Spectrometry for Quantitative Analysis of Aerosol Chemical Composition X. Xu et al. 10.1007/s41810-021-00091-9
- Machine learning approaches for automatic classification of single-particle mass spectrometry data G. Wang et al. 10.5194/amt-17-299-2024
Latest update: 23 Apr 2024
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.
Particle-bound metals in both natural dusts and polluted air can induce severe health effects....
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