Articles | Volume 15, issue 23
https://doi.org/10.5194/amt-15-7137-2022
© Author(s) 2022. 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-15-7137-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Dec 2022
Research article |
| 12 Dec 2022
| 12 Dec 2022
Mass spectrometry-based Aerosolomics: a new approach to resolve sources, composition, and partitioning of secondary organic aerosol
Institute for Atmospheric and Environmental Sciences, Goethe-University Frankfurt, 60438 Frankfurt am Main, Germany
Franziska Bachmeier
Institute for Atmospheric and Environmental Sciences, Goethe-University Frankfurt, 60438 Frankfurt am Main, Germany
Felix Leonard Gottwald
Institute for Atmospheric and Environmental Sciences, Goethe-University Frankfurt, 60438 Frankfurt am Main, Germany
Mario Simon
Institute for Atmospheric and Environmental Sciences, Goethe-University Frankfurt, 60438 Frankfurt am Main, Germany
Alexander Lucas Vogel
CORRESPONDING AUTHOR
Institute for Atmospheric and Environmental Sciences, Goethe-University Frankfurt, 60438 Frankfurt am Main, Germany
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- Regional differences in molecular characteristics of atmospheric water-soluble organic carbon over northern China: Comparison of remote, rural, and urban environments H. Wen et al. https://doi.org/10.1016/j.scitotenv.2024.174170
- Comprehensive non-targeted molecular characterization of organic aerosols in the Amazon rainforest D. Leppla et al. https://doi.org/10.5194/acp-26-365-2026
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- Unveiling a large fraction of hidden organosulfates in ambient organic aerosol J. Ma et al. https://doi.org/10.1038/s41467-025-59420-y
- Similarity-based analysis of atmospheric organic compounds for machine learning applications H. Sandström & P. Rinke https://doi.org/10.5194/gmd-18-2701-2025
- Obtaining accurate non-methane hydrocarbon data for ambient air in urban areas: comparison of non-methane hydrocarbon data between indirect and direct methods S. Gao et al. https://doi.org/10.5194/amt-16-5709-2023
- Assessment of air quality around the thermal power plant area, Chandrapur, Maharashtra, India V. Manik & S. Gudadhe https://doi.org/10.36953/ECJ.26772653
- Source Identification of Atmospheric Particles via Low-Voltage Electron Microscopy Image Recognition: A Case Study of Submicrometer Particles P. Zhao et al. https://doi.org/10.1021/acs.estlett.5c00700
- Organic aerosols mixing across the tropopause and its implication for anthropogenic pollution of the UTLS A. Breuninger et al. https://doi.org/10.5194/acp-25-16533-2025
- Characterisation of atmospheric organic aerosols with one- and multidimensional liquid chromatography and mass spectrometry: State of the art and future perspectives S. Hildmann & T. Hoffmann https://doi.org/10.1016/j.trac.2024.117698
- Seasonal investigation of ultrafine-particle organic composition in an eastern Amazonian rainforest A. Thomas et al. https://doi.org/10.5194/acp-25-959-2025
- Measuring pesticides in the atmosphere: current status, emerging trends and future perspectives M. Brüggemann et al. https://doi.org/10.1186/s12302-024-00870-4
- Prioritizing molecular formulae identified by non-target analysis through high-throughput modelling: application to identify compounds with high human accumulation potential from house dust Z. Zhang et al. https://doi.org/10.1039/D3EM00317E
- Measurement report: Molecular insights into organic aerosol sources and formation at a regional background site in South China H. Jiang et al. https://doi.org/10.5194/acp-25-13711-2025
- Differentiating between Euro 5 gasoline and diesel light-duty engine primary and secondary particle emissions using multivariate statistical analysis of high-resolution mass spectrometry (HRMS) fingerprints C. Noblet et al. https://doi.org/10.5194/ar-3-569-2025
- Real-time organic aerosol characterization via Orbitrap mass spectrometry in urban and agricultural environments J. David et al. https://doi.org/10.5194/amt-18-4573-2025
- CID fragment annotation from data-independent experiments in non-target organic aerosol analysis: presenting an easy-to-use tool N. Karbach & T. Hoffmann https://doi.org/10.1007/s00216-025-06184-5
- Oligomeric amide formation in secondary organic aerosol from the photooxidation of aromatics in the presence of ammonia P. Dao et al. https://doi.org/10.1016/j.scitotenv.2025.180203
- Contrasting organic aerosol molecular composition between the urban and agricultural environment of the Po Valley L. D'Angelo et al. https://doi.org/10.5194/acp-26-6799-2026
- Seasonal analysis of organic aerosol composition resolves anthropogenic and biogenic sources at a rural background station in central Europe M. Thoma et al. https://doi.org/10.1039/D4EA00163J
- Nontargeted Analysis Reveals Organic Compounds That Drive Oxidative Potential in Ambient Particulate Matter A. Breuninger et al. https://doi.org/10.1021/acs.est.5c07847
- Tropical cyclone-enhanced biogenic emissions dominate organic aerosol formation at a mountainous site in southern China H. Jiang et al. https://doi.org/10.1016/j.jes.2026.05.026
Saved (final revised paper)
Latest update: 30 May 2026
Short summary
We introduce the aerosolomics database and apply it to particulate matter samples. Nine VOCs were oxidized under various conditions in an oxidation flow reactor, and the formed SOA was measured using liquid chromatography mass spectrometry. With the database, an unambiguous top-down attribution of atmospheric oxidation products to their parent VOCs is now possible. Combining the database with hierarchical clustering enables a better understanding of sources, formation, and partitioning of SOA.
We introduce the aerosolomics database and apply it to particulate matter samples. Nine VOCs...
