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

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Subject: Aerosols | Research Activity: Laboratory Studies | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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Cited articles

Ackendorf, J. M., Ippolito, M. G., and Galloway, M. M.: pH Dependence of the Imidazole-2-carboxaldehyde Hydration Equilibrium: Implications for Atmospheric Light Absorbance, Environ. Sci. Technol. Let., 4, 551–555, https://doi.org/10.1021/acs.estlett.7b00486, 2017. 
Aftab, B., Shin, H. S., and Hur, J.: Exploring the fate and oxidation behaviors of different organic constituents in landfill leachate upon Fenton oxidation processes using EEM-PARAFAC and 2D-COS-FTIR, J. Haza. Mat., 354, 33–41, https://doi.org/10.1016/j.jhazmat.2018.04.059, 2018. 
Andrade-Eiroa, A., Leroy, V., and Dagaut, P.: Advances in PAHs/nitro-PAHs fractioning, Anal. Meth., 2, 2017, https://doi.org/10.1039/c0ay00484g, 2010. 
Andrade-Eiroa, Á., Canle, M., and Cerdá, V.: Environmental Applications of Excitation-Emission Spectrofluorimetry: An In-Depth Review I, Appl. Spec. Rev., 48, 1–49, https://doi.org/10.1080/05704928.2012.692104, 2013. 
Barsotti, F., Ghigo, G., and Vione, D.: Computational assessment of the fluorescence emission of phenol oligomers: A possible insight into the fluorescence properties of humic-like substances (HULIS), J. Photo. Photo. A., 315, 87–93, https://doi.org/10.1016/j.jphotochem.2015.09.012, 2016. 
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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.
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