4.7 Article

Composition and copper binding properties of aquatic fulvic acids in eutrophic Taihu Lake, China

Journal

CHEMOSPHERE
Volume 172, Issue -, Pages 496-504

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2017.01.008

Keywords

Algal blooms; Fulvic acids; 2D-COS-FTIR; Binding properties; Bacterial diversity; Taihu Lake

Funding

  1. National Natural Science Foundation of China [41373119, 21273275]
  2. Chinese Ministry of Science and Technology [2016YFA0600904]
  3. State Key Laboratory of Estuarine and Coastal Research (SKLEC) of East China Normal University [201202]

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Fulvic acid (FA) plays a significant role in biogenic-elemental cycling in aquatic ecosystems which is highly dependent on their organic composition. In this study, the aquatic FA contents and binding properties during bloom and non-bloom periods in Taihu Lake were investigated by two-dimensional correlation spectroscopy Fourier transform infrared spectroscopy (2D-COS-FTIR), nuclear magnetic resonance (NMR) and elemental analysis. Compared with non-bloom FA, bloom FA was of lower nitrogen content and higher C/N ratio. It contained more carboxylic and aliphatic groups while less amide groups. 2D-COS-FTIR spectra evidenced the carboxyl groups in bloom FA had the fastest response to Cu(II) binding. Also, polysaccharide in bloom FA was more susceptive to Cu(II) concentrations than that in non bloom FA. While comparing with bloom FA, the N-rich organic compounds in non-bloom FA exhibited faster binding sequence with Cu(II). A comprehensive scheme about the interaction process of FA-Cu(II) showed that both nitrogenous and oxygenic groups in FAs were active in binding to Cu(II). The alteration in binding behaviors of organic groups in FM to Cu(II) may have been driven by algal products and microbial community variety in Taihu Lake. Our results here have the potential to contribute significantly to future studies of dissolved organic matter dynamic biogeochemistry processes and trace metal cycling processes in eutrophic lakes. (C) 2017 Elsevier Ltd. All rights reserved.

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