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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Sep 2024
Research article |
| 24 Sep 2024
| 24 Sep 2024
Automated compound speciation, cluster analysis, and quantification of organic vapors and aerosols using comprehensive two-dimensional gas chromatography and mass spectrometry
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Xuan Zheng
CORRESPONDING AUTHOR
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Shuwen Guo
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Lewei Zeng
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Ting Chen
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Bohan Yang
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Shupei Xiao
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Qiongqiong Wang
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
Shaojun Zhang
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
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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.
This study introduces an innovative method for identifying and quantifying complex organic...
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