Articles | Volume 23, issue 4
https://doi.org/10.5194/acp-23-2613-2023
© Author(s) 2023. 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-23-2613-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note
| 
24 Feb 2023
Technical note |
| 24 Feb 2023
| 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
State Key Laboratory of Organic Geochemistry and Guangdong Provincial
Key Laboratory of Environmental Protection and Resources Utilization,
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou
510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
University of Chinese Academy of Sciences, Beijing 100049, China
Meiju Li
State Key Laboratory of Organic Geochemistry and Guangdong Provincial
Key Laboratory of Environmental Protection and Resources Utilization,
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou
510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
University of Chinese Academy of Sciences, Beijing 100049, China
Cuncun Xu
State Key Laboratory of Organic Geochemistry and Guangdong Provincial
Key Laboratory of Environmental Protection and Resources Utilization,
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou
510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
University of Chinese Academy of Sciences, Beijing 100049, China
Jianzhong Song
CORRESPONDING AUTHOR
State Key Laboratory of Organic Geochemistry and Guangdong Provincial
Key Laboratory of Environmental Protection and Resources Utilization,
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou
510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
Guangdong–Hong Kong–Macao Joint Laboratory for Environmental Pollution
and Control, Guangzhou 510640, China
Xingjun Fan
College of Resource and Environment, Anhui Science and Technology
University, Fengyang 233100, China
State Key Laboratory of Organic Geochemistry and Guangdong Provincial
Key Laboratory of Environmental Protection and Resources Utilization,
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou
510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
Guangdong–Hong Kong–Macao Joint Laboratory for Environmental Pollution
and Control, Guangzhou 510640, China
Wanglu Jia
State Key Laboratory of Organic Geochemistry and Guangdong Provincial
Key Laboratory of Environmental Protection and Resources Utilization,
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou
510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
Ping'an Peng
State Key Laboratory of Organic Geochemistry and Guangdong Provincial
Key Laboratory of Environmental Protection and Resources Utilization,
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou
510640, China
CAS Center for Excellence in Deep Earth Science, Guangzhou 510640,
China
University of Chinese Academy of Sciences, Beijing 100049, China
Guangdong–Hong Kong–Macao Joint Laboratory for Environmental Pollution
and Control, Guangzhou 510640, China
Data sets
Data for CT J. Song https://doi.org/10.7910/DVN/ULCIU9
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.
This work comprehensively investigated the fluorescence data of light-absorbing organic...
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