Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 18
Articles | Volume 24, issue 18
https://doi.org/10.5194/acp-24-10655-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-10655-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 18
Research article
 | 
24 Sep 2024
Research article |  | 24 Sep 2024

Automated compound speciation, cluster analysis, and quantification of organic vapors and aerosols using comprehensive two-dimensional gas chromatography and mass spectrometry

Xiao He, Xuan Zheng, Shuwen Guo, Lewei Zeng, Ting Chen, Bohan Yang, Shupei Xiao, Qiongqiong Wang, Zhiyuan Li, Yan You, Shaojun Zhang, and Ye Wu

Viewed

Total article views: 2,554 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,913 362 279 2,554 174 56 84
  • HTML: 1,913
  • PDF: 362
  • XML: 279
  • Total: 2,554
  • Supplement: 174
  • BibTeX: 56
  • EndNote: 84
Views and downloads (calculated since 18 Jun 2024)
Cumulative views and downloads (calculated since 18 Jun 2024)

Viewed (geographical distribution)

Total article views: 2,554 (including HTML, PDF, and XML) Thereof 2,554 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
This study introduces an innovative method for identifying and quantifying complex organic vapors and aerosols. By combining advanced analytical techniques and new algorithms, we categorized thousands of compounds from heavy-duty diesel vehicles and ambient air and highlighted specific tracers for emission sources. The innovative approach enhances peak identification, reduces quantification uncertainties, and offers new insights for air quality management and atmospheric chemistry.
Read more
Share
Altmetrics
Final-revised paper
Preprint