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

Viewed

Total article views: 2,742 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,080 608 54 2,742 221 32 47
  • HTML: 2,080
  • PDF: 608
  • XML: 54
  • Total: 2,742
  • Supplement: 221
  • BibTeX: 32
  • EndNote: 47
Views and downloads (calculated since 07 Oct 2022)
Cumulative views and downloads (calculated since 07 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,742 (including HTML, PDF, and XML) Thereof 2,730 with geography defined and 12 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Jun 2024
Download
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.
Altmetrics
Final-revised paper
Preprint