Articles | Volume 23, issue 4
https://doi.org/10.5194/acp-23-2613-2023
https://doi.org/10.5194/acp-23-2613-2023
Technical note
 | 
24 Feb 2023
Technical note |  | 24 Feb 2023

Technical note: Chemical composition and source identification of fluorescent components in atmospheric water-soluble brown carbon by excitation–emission matrix spectroscopy with parallel factor analysis – potential limitations and applications

Tao Cao, Meiju Li, Cuncun Xu, Jianzhong Song, Xingjun Fan, Jun Li, Wanglu Jia, and Ping'an Peng

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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 acp-2022-676', Anonymous Referee #1, 02 Nov 2022
  • RC2: 'Comment on acp-2022-676', Anonymous Referee #1, 23 Nov 2022
  • RC3: 'Comment on acp-2022-676', Anonymous Referee #2, 28 Nov 2022
  • EC1: 'Comment on acp-2022-676', Irena Grgić, 28 Nov 2022
  • AC4: 'Comment on acp-2022-676', Jianzhong Song, 25 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jianzhong Song on behalf of the Authors (25 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 Jan 2023) by Irena Grgić
RR by Anonymous Referee #2 (24 Jan 2023)
ED: Publish subject to technical corrections (24 Jan 2023) by Irena Grgić
AR by Jianzhong Song on behalf of the Authors (29 Jan 2023)  Author's response   Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Jianzhong Song on behalf of the Authors (20 Feb 2023)   Author's adjustment   Manuscript
EA: Adjustments approved (21 Feb 2023) by Irena Grgić
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Short summary
This work comprehensively investigated the fluorescence data of light-absorbing organic compounds, water-soluble organic matter in different types of aerosol samples, soil dust, and fulvic and humic acids using an excitation–emission matrix (EEM) method and parallel factor modeling. The results revealed which light-absorbing species can be detected by EEM and also provided important information for identifying the chemical composition and possible sources of these species in atmospheric samples.
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