Abstract
Synchronous fluorescence spectroscopy (SFS) combined with two-dimensional correlation and principle component analysis (PCA) can provide an excellent challenge to capture fluorescent components of dissolved organic matter (DOM) and reveal its spatial variations in an urban river. Water samples were collected from Baitapuhe River along human impact gradient, i.e., the rural, town, and urban regions. DOM in Baitapuhe River was composed of protein-like, microbial humic-like, fulvic-like, and humic-like fluorescent components. The protein-like was the dominant component, which consisted of tyrosine-like and tryptophan-like components. In the rural region, the variation of the microbial humic-like was higher than that of the protein-like according to the band changing order of 335 → 281 nm, and both components changed in the same direction. In the town region, the variation of the microbial humic-like was the highest followed by the protein-like and fulvic-like on the basis of the changing band order of 335 → 281 → 369 nm, and these components varied in the same trend too. In the urban region, the variation of the protein-like was the highest, followed by the microbial humic-like, fulvic-like, and humic-like based on the changing band order of 282 → 335 → 369 → 470 nm, and the protein-like variation was opposite to the other components. The SFS combined with PCA and two-dimensional correlation can be used as a powerful tool in investigating fluorescent components of DOM and revealing spatial variations of these fluorescent components.
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Acknowledgments
This work was financially supported by National Major Program of Science and Technology for Water Pollution Control and Governance (Fund number, 2012ZX07202-005, PR China), China Postdoctoral Science Foundation (Fund number, 2013 T60148), and Scientific Research Foundation of the Higher Education Institutions of Henan Province (16 A570001).
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Yu, H., Song, Y., Pan, H. et al. Synchronous fluorescence spectroscopy combined with two-dimensional correlation and principle component analysis to characterize dissolved organic matter in an urban river. Environ Monit Assess 188, 579 (2016). https://doi.org/10.1007/s10661-016-5580-0
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DOI: https://doi.org/10.1007/s10661-016-5580-0