2020
DOI: 10.1016/j.atmosenv.2019.117192
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Application of parallel factor analysis model to decompose excitation-emission matrix fluorescence spectra for characterizing sources of water-soluble brown carbon in PM2.5

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Cited by 29 publications
(14 citation statements)
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“…Component 3 (C3) showed one signal of 360/398 nm. The signals for C1 were similar to those reported for highly oxygenated HULIS of terrestrial and dust origin, which were found in aerosol samples from urban areas and organic matter dissolved in water samples (Fu et al, 2015;Yan and Kim, 2017;Qin et al, 2018;Wang et al, 2020). Moreover, Wen et al (2021) applied the PARAFAC model to samples collected from three sites with different environments in northern China.…”
Section: Analysis Of Pm 25 By Fluorescence Spectroscopysupporting
confidence: 74%
“…Component 3 (C3) showed one signal of 360/398 nm. The signals for C1 were similar to those reported for highly oxygenated HULIS of terrestrial and dust origin, which were found in aerosol samples from urban areas and organic matter dissolved in water samples (Fu et al, 2015;Yan and Kim, 2017;Qin et al, 2018;Wang et al, 2020). Moreover, Wen et al (2021) applied the PARAFAC model to samples collected from three sites with different environments in northern China.…”
Section: Analysis Of Pm 25 By Fluorescence Spectroscopysupporting
confidence: 74%
“…where x represents the fluorescence intensity; f is the number of components resolved by PARAFAC; a is proportional to the concentration of the f th component; b and c are the scaled estimation of the emission and excitation spectra; the subscript i is the sample number; and j and k represent the emission and excitation wavelength, respectively. Before performing PARAFAC, all EEM data were normalized to unit norm to reduce concentration-related collinearity and avoid extremely different leverages (Wang et al, 2020). The Tucker congruence coefficient (TCC) was determined for each excitation spectrum and emission spectrum, and a threshold of 0.95 was applied to confirm the spectral congruence.…”
Section: Parafacmentioning
confidence: 99%
“…Footnote of i is the sample number, footnotes j and k represent emission and excitation wavelengths, respectively. Before performing PARAFAC, all EEM data were normalized to unit norm to reducing concentration-related collinearity and avoid extremely different leverages (Wang et al 2020).…”
Section: Parafacmentioning
confidence: 99%