Automated compound speciation, cluster analysis, and quantification of organic vapors and aerosols using comprehensive two-dimensional gas chromatography and mass spectrometry
Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
Zhiyuan Li
School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China
Yan You
National Observation and Research Station of Coastal Ecological Environments in Macao, Macao Environmental Research Institute, Macau University of Science and Technology, Macao SAR 999078, China
School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Beijing Laboratory of Environmental Frontier Technologies, School of Environment, Tsinghua University, Beijing 100084, China
Laboratory of Transport Pollution Control and Monitoring Technology, Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
Ye Wu
School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Beijing Laboratory of Environmental Frontier Technologies, School of Environment, Tsinghua University, Beijing 100084, China
Laboratory of Transport Pollution Control and Monitoring Technology, Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
Viewed
Total article views: 2,773 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,071
406
296
2,773
230
63
103
HTML: 2,071
PDF: 406
XML: 296
Total: 2,773
Supplement: 230
BibTeX: 63
EndNote: 103
Views and downloads (calculated since 18 Jun 2024)
Cumulative views and downloads
(calculated since 18 Jun 2024)
Total article views: 2,351 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,754
328
269
2,351
188
47
87
HTML: 1,754
PDF: 328
XML: 269
Total: 2,351
Supplement: 188
BibTeX: 47
EndNote: 87
Views and downloads (calculated since 24 Sep 2024)
Cumulative views and downloads
(calculated since 24 Sep 2024)
Total article views: 422 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
317
78
27
422
42
16
16
HTML: 317
PDF: 78
XML: 27
Total: 422
Supplement: 42
BibTeX: 16
EndNote: 16
Views and downloads (calculated since 18 Jun 2024)
Cumulative views and downloads
(calculated since 18 Jun 2024)
Viewed (geographical distribution)
Total article views: 2,773 (including HTML, PDF, and XML)
Thereof 2,773 with geography defined
and 0 with unknown origin.
Total article views: 2,351 (including HTML, PDF, and XML)
Thereof 2,351 with geography defined
and 0 with unknown origin.
Total article views: 422 (including HTML, PDF, and XML)
Thereof 400 with geography defined
and 22 with unknown origin.
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.
This study introduces an innovative method for identifying and quantifying complex organic...