Articles | Volume 12, issue 4
https://doi.org/10.5194/amt-12-2219-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-2219-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Apr 2019
Research article |
| 10 Apr 2019
| 10 Apr 2019
Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometry
Xiaoli Shen
Institute of Meteorology and Climate Research, Karlsruhe Institute of
Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen,
Germany
Institute of Geography and Geoecology, Working Group for Environmental
Mineralogy and Environmental System Analysis, Karlsruhe Institute of
Technology, Kaiserstr.12, 76131 Karlsruhe, Germany
Institute of Meteorology and Climate Research, Karlsruhe Institute of
Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen,
Germany
Wei Huang
Institute of Meteorology and Climate Research, Karlsruhe Institute of
Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen,
Germany
Institute of Geography and Geoecology, Working Group for Environmental
Mineralogy and Environmental System Analysis, Karlsruhe Institute of
Technology, Kaiserstr.12, 76131 Karlsruhe, Germany
Claudia Mohr
Institute of Meteorology and Climate Research, Karlsruhe Institute of
Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen,
Germany
Department of Environmental Science and Analytical Chemistry,
Stockholm University, Stockholm, 11418, Sweden
Ramakrishna Ramisetty
Institute of Meteorology and Climate Research, Karlsruhe Institute of
Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen,
Germany
now at: TSI Instruments India Private Limited, Bangalore, 560102,
India
Thomas Leisner
Institute of Meteorology and Climate Research, Karlsruhe Institute of
Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen,
Germany
Institute of Environmental Physics, University of Heidelberg, In
Neuenheimer Feld 229, 69120 Heidelberg, Germany
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Cited
20 citations as recorded by crossref.
- On-line and off-line analysis of particles from rock, sediment, sand, snow water and atmospheric air at the Jungfraujoch site, using single-particle laser mass spectrometry C. Barth et al. 10.1080/02786826.2021.1873236
- A solid-state infrared laser for two-step desorption–ionization processes in single-particle mass spectrometry M. Schmidt et al. 10.5194/amt-18-2425-2025
- Metallic and Crustal Elements in Biomass-Burning Aerosol and Ash: Prevalence, Significance, and Similarity to Soil Particles L. Jahn et al. 10.1021/acsearthspacechem.0c00191
- Machine learning approaches for automatic classification of single-particle mass spectrometry data G. Wang et al. 10.5194/amt-17-299-2024
- Source apportionment of soot particles and aqueous-phase processing of black carbon coatings in an urban environment R. Farley et al. 10.5194/acp-23-15039-2023
- Canaries at the Climbing Wall: A Comparative Study of Particulate Matter at Two University Climbing Walls C. Zajchowski et al. 10.1177/1558866120952772
- Highly significant impact of mineral dust on aerosol hygroscopicity at New Delhi Z. Arub et al. 10.1016/j.atmosenv.2021.118375
- Sources and nature of ice-nucleating particles in the free troposphere at Jungfraujoch in winter 2017 L. Lacher et al. 10.5194/acp-21-16925-2021
- Elemental analysis of single ambient aerosol particles using laser-induced breakdown spectroscopy P. Heikkilä et al. 10.1038/s41598-022-18349-8
- Resonance-enhanced detection of metals in aerosols using single-particle mass spectrometry J. Passig et al. 10.5194/acp-20-7139-2020
- On-line determination of the chemical composition of single activated cloud condensation nuclei – a pilot study C. Dameto de España et al. 10.1080/02786826.2022.2069545
- Analysis and classification of individual ambient aerosol particles with field-deployable laser-induced breakdown spectroscopy platform P. Heikkilä et al. 10.1080/02786826.2024.2350022
- Single-particle characterization of polycyclic aromatic hydrocarbons in background air in northern Europe J. Passig et al. 10.5194/acp-22-1495-2022
- Measurement report: The Fifth International Workshop on Ice Nucleation phase 1 (FIN-01): intercomparison of single-particle mass spectrometers X. Shen et al. 10.5194/acp-24-10869-2024
- Aerosol Populations, Processes, and Ages in Bulk Deposition: Insights From a 9‐Year Study of 7Be, 210Pb, Sulfate, and Major/Trace Elements J. Landis et al. 10.1029/2021JD035612
- Atomic spectrometry update – a review of advances in environmental analysis J. Bacon et al. 10.1039/C9JA90060H
- Deep learning based aerosol particle classification for the detection of ship emissions G. Wang et al. 10.1016/j.scitotenv.2025.180041
- Air Pollution and Outdoor Recreation on Urban Trails: A Case Study of the Elizabeth River Trail, Norfolk J. McCann et al. 10.3390/atmos12101304
- Composition and origin of PM2.5 aerosol particles in the upper Rhine valley in summer X. Shen et al. 10.5194/acp-19-13189-2019
- A new method to quantify mineral dust and other aerosol species from aircraft platforms using single-particle mass spectrometry K. Froyd et al. 10.5194/amt-12-6209-2019
20 citations as recorded by crossref.
- On-line and off-line analysis of particles from rock, sediment, sand, snow water and atmospheric air at the Jungfraujoch site, using single-particle laser mass spectrometry C. Barth et al. 10.1080/02786826.2021.1873236
- A solid-state infrared laser for two-step desorption–ionization processes in single-particle mass spectrometry M. Schmidt et al. 10.5194/amt-18-2425-2025
- Metallic and Crustal Elements in Biomass-Burning Aerosol and Ash: Prevalence, Significance, and Similarity to Soil Particles L. Jahn et al. 10.1021/acsearthspacechem.0c00191
- Machine learning approaches for automatic classification of single-particle mass spectrometry data G. Wang et al. 10.5194/amt-17-299-2024
- Source apportionment of soot particles and aqueous-phase processing of black carbon coatings in an urban environment R. Farley et al. 10.5194/acp-23-15039-2023
- Canaries at the Climbing Wall: A Comparative Study of Particulate Matter at Two University Climbing Walls C. Zajchowski et al. 10.1177/1558866120952772
- Highly significant impact of mineral dust on aerosol hygroscopicity at New Delhi Z. Arub et al. 10.1016/j.atmosenv.2021.118375
- Sources and nature of ice-nucleating particles in the free troposphere at Jungfraujoch in winter 2017 L. Lacher et al. 10.5194/acp-21-16925-2021
- Elemental analysis of single ambient aerosol particles using laser-induced breakdown spectroscopy P. Heikkilä et al. 10.1038/s41598-022-18349-8
- Resonance-enhanced detection of metals in aerosols using single-particle mass spectrometry J. Passig et al. 10.5194/acp-20-7139-2020
- On-line determination of the chemical composition of single activated cloud condensation nuclei – a pilot study C. Dameto de España et al. 10.1080/02786826.2022.2069545
- Analysis and classification of individual ambient aerosol particles with field-deployable laser-induced breakdown spectroscopy platform P. Heikkilä et al. 10.1080/02786826.2024.2350022
- Single-particle characterization of polycyclic aromatic hydrocarbons in background air in northern Europe J. Passig et al. 10.5194/acp-22-1495-2022
- Measurement report: The Fifth International Workshop on Ice Nucleation phase 1 (FIN-01): intercomparison of single-particle mass spectrometers X. Shen et al. 10.5194/acp-24-10869-2024
- Aerosol Populations, Processes, and Ages in Bulk Deposition: Insights From a 9‐Year Study of 7Be, 210Pb, Sulfate, and Major/Trace Elements J. Landis et al. 10.1029/2021JD035612
- Atomic spectrometry update – a review of advances in environmental analysis J. Bacon et al. 10.1039/C9JA90060H
- Deep learning based aerosol particle classification for the detection of ship emissions G. Wang et al. 10.1016/j.scitotenv.2025.180041
- Air Pollution and Outdoor Recreation on Urban Trails: A Case Study of the Elizabeth River Trail, Norfolk J. McCann et al. 10.3390/atmos12101304
- Composition and origin of PM2.5 aerosol particles in the upper Rhine valley in summer X. Shen et al. 10.5194/acp-19-13189-2019
- A new method to quantify mineral dust and other aerosol species from aircraft platforms using single-particle mass spectrometry K. Froyd et al. 10.5194/amt-12-6209-2019
Latest update: 28 Aug 2025
Short summary
Based on single-particle mass spectra from field measurements in the upper Rhine valley, we identified characteristic particle classes and estimated their mass contributions without the need of a reference instrument in the field. Our study provides a good example for quantitative interpretation of single-particle data. Together with the complimentary results from bulk measurements, we have shown how a better understanding of the mixing state of ambient aerosol particles can be achieved.
Based on single-particle mass spectra from field measurements in the upper Rhine valley, we...
