Mass spectrometry-based <i>Aerosolomics</i>: a new approach to resolve sources, composition, and partitioning of secondary organic aerosol

Thoma, Markus; Bachmeier, Franziska; Gottwald, Felix Leonard; Simon, Mario; Vogel, Alexander Lucas

doi:https://doi.org/10.5194/amt-15-7137-2022

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.

https://doi.org/10.5194/amt-15-7137-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 23

Research article

|

12 Dec 2022

Research article |

| 12 Dec 2022

Mass spectrometry-based Aerosolomics: a new approach to resolve sources, composition, and partitioning of secondary organic aerosol

Markus Thoma, Franziska Bachmeier, Felix Leonard Gottwald, Mario Simon, and Alexander Lucas Vogel

Supplement

https://doi.org/10.5194/amt-15-7137-2022-supplement

Data sets

Mass spectrometry-based aerosolomics: a new approach to resolve sources, composition, and partitioning of secondary organic aerosol M. Thoma, F. Bachmeier, F. L. Gottwald, M. Simon, and A. L. Vogel https://doi.org/10.5281/zenodo.6623244

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.