Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 23
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

Viewed

Total article views: 2,910 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,076 769 65 2,910 231 52 60
  • HTML: 2,076
  • PDF: 769
  • XML: 65
  • Total: 2,910
  • Supplement: 231
  • BibTeX: 52
  • EndNote: 60
Views and downloads (calculated since 23 Aug 2022)
Cumulative views and downloads (calculated since 23 Aug 2022)

Viewed (geographical distribution)

Total article views: 2,910 (including HTML, PDF, and XML) Thereof 3,036 with geography defined and -126 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
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.
Read more