Articles | Volume 15, issue 23
https://doi.org/10.5194/amt-15-7137-2022
https://doi.org/10.5194/amt-15-7137-2022
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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-221', Anonymous Referee #2, 13 Sep 2022
  • RC2: 'Comment on amt-2022-221', Anonymous Referee #1, 27 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Markus Thoma on behalf of the Authors (14 Oct 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (21 Oct 2022) by Bin Yuan
RR by Anonymous Referee #2 (04 Nov 2022)
ED: Publish as is (18 Nov 2022) by Bin Yuan
AR by Markus Thoma on behalf of the Authors (18 Nov 2022)  Manuscript 
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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.