Journal
WATER RESEARCH
Volume 47, Issue 7, Pages 2603-2611Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2013.02.044
Keywords
Aluminum; Cadmium; Complex; Copper; Log-transformed absorbance; Natural organic matter; NICA-Donnan model
Funding
- U.S. National Science Foundation [0931676]
- Beijing Metropolis [2011009]
- China NSF [21277005]
- New Star of Science and Technology program
- Directorate For Engineering
- Div Of Chem, Bioeng, Env, & Transp Sys [0931676] Funding Source: National Science Foundation
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This study introduces the concept of consistent examination of changes of log-transformed absorbance spectra of dissolved organic matter (DOM) at incrementally increasing concentrations of heavy metal cations such as copper, cadmium, and aluminum at environmentally relevant concentrations. The approach is designed to highlight contributions of low-intensity absorbance features that appear to be especially sensitive to DOM reactions. In accord with this approach, log-transformed absorbance spectra of fractions of DOM from the Suwannee River were acquired at varying pHs and concentrations of copper, cadmium, and aluminum. These log-transformed spectra were processed using the differential approach and used to examine the nature of the observed changes of DOM absorbance and correlate them with the extent of Me-DOM complexation. Two alternative parameters, namely the change of the spectral slope in the range of wavelengths 325-375 nm (DSlope(325-375)) and differential logarithm of DOM absorbance at 350 nm (DLnA(350)) were introduced to quantify Cu(II), Cd(II), and Al(III) binding onto DOMs. DLnA(350) and DSlope(325-375) datasets were compared with the amount of DOM-bound Cu(II), Cd(II), and Al(III) estimated based on NICA-Donnan model calculations. This examination showed that the DLnA(350) and DSlope(325-375) acquired at various pH values, metal ions concentrations, and DOM types were strongly and unambiguously correlated with the concentration of DOM-bound metal ions. The obtained experimental results and their interpretation indicate that the introduced DSlope(325-375) and DLnA(35) parameters are predictive of and can be used to quantify in situ metal ions interactions with DOMs. The presented approach can be used to gain more information about DOM-metal interactions and for further optimization of existing formal models of metal-DOM complexation. (C) 2013 Elsevier Ltd. All rights reserved.
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