Literature DB >> 12487303

Complexation with dissolved organic matter and solubility control of heavy metals in a sandy soil.

Liping Weng1, Erwin J M Temminghoff, Stephen Lofts, Edward Tipping, Willem H Van Riemsdijk.   

Abstract

The complexation of heavy metals with dissolved organic matter (DOM) in the environment influences the solubility and mobility of these metals. In this paper, we measured the complexation of Cu, Cd, Zn, Ni, and Pb with DOM in the soil solution at pH 3.7-6.1 using a Donnan membrane technique. The results show that the DOM-complexed species is generally more significant for Cu and Pb than for Cd, Zn, and Ni. The ability of two advanced models for ion binding to humic substances, e.g., model VI and NICA-Donnan, in the simulation of metal binding to natural DOM was assessed by comparing the model predictions with the measurements. Using the default parameters of fulvic and humic acid, the predicted concentrations of free metal ions from the solution speciation calculation using the two models are mostly within 1 order of magnitude difference from the measured concentrations, except for Ni and Pb in a few samples. Furthermore, the solid-solution partitioning of the metals was simulated using a multisurface model, in which metal binding to soil organic matter, dissolved organic matter, clay, and iron hydroxides was accounted for using adsorption and cation exchange models (NICA-Donnan, Donnan, DDL, CD-MUSIC). The model estimation of the dissolved concentration of the metals is mostly within 1 order of magnitude difference from those measured except for Ni in some samples and Pb. The solubility of the metals depends mainly on the metal loading over soil sorbents, pH, and the concentration of inorganic ligands and DOM in the soil solution.

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Year:  2002        PMID: 12487303     DOI: 10.1021/es0200084

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  28 in total

1.  Bio-immobilization of Cu and Zn in recirculated bioreactor landfill.

Authors:  Yu-Yang Long; Li-Fang Hu; Jing Wang; Cheng-Ran Fang; Ruo He; Dong-Sheng Shen
Journal:  Environ Sci Pollut Res Int       Date:  2010-05-22       Impact factor: 4.223

2.  Characterization, distribution, and risk assessment of heavy metals in agricultural soil and products around mining and smelting areas of Hezhang, China.

Authors:  Meryem Briki; Hongbing Ji; Cai Li; Huaijian Ding; Yang Gao
Journal:  Environ Monit Assess       Date:  2015-11-21       Impact factor: 2.513

3.  Elevated CO2 concentration increase the mobility of Cd and Zn in the rhizosphere of hyperaccumulator Sedum alfredii.

Authors:  Tingqiang Li; Qi Tao; Chengfeng Liang; Xiaoe Yang
Journal:  Environ Sci Pollut Res Int       Date:  2014-01-23       Impact factor: 4.223

4.  Correlation between molecular acidity (pKa) and vibrational spectroscopy.

Authors:  Niraj Verma; Yunwen Tao; Bruna Luana Marcial; Elfi Kraka
Journal:  J Mol Model       Date:  2019-01-30       Impact factor: 1.810

5.  Extractability and bioavailability of Pb and As in historically contaminated orchard soil: effects of compost amendments.

Authors:  Margaret Fleming; Yiping Tai; Ping Zhuang; Murray B McBride
Journal:  Environ Pollut       Date:  2013-03-08       Impact factor: 8.071

6.  Distribution, speciation, and risk assessment of selected metals in the gold and iron mine soils of the catchment area of Miyun Reservoir, Beijing, China.

Authors:  Xingxing Huang; Yi Zhu; Hongbing Ji
Journal:  Environ Monit Assess       Date:  2013-05-05       Impact factor: 2.513

7.  Assessment of metal retention in newly constructed highway embankments.

Authors:  Moritz Werkenthin; Björn Kluge; Gerd Wessolek
Journal:  Environ Sci Pollut Res Int       Date:  2016-09-11       Impact factor: 4.223

8.  Modelling the concentrations of dissolved contaminants (Cd, Cu, Ni, Pb, Zn) in floodplain soils.

Authors:  Thilo Rennert; Widar Rabus; Jörg Rinklebe
Journal:  Environ Geochem Health       Date:  2016-07-29       Impact factor: 4.609

9.  Profiling of main metabolites in root exudates and mucilage collected from maize submitted to cadmium stress.

Authors:  Clémentine Lapie; Pierre Leglize; Cédric Paris; Tatiana Buisson; Thibault Sterckeman
Journal:  Environ Sci Pollut Res Int       Date:  2019-04-25       Impact factor: 4.223

10.  A novel method for predicting cadmium concentration in rice grain using genetic algorithm and back-propagation neural network based on soil properties.

Authors:  Yi Xuan Hou; Hua Fu Zhao; Zhuo Zhang; Ke Ning Wu
Journal:  Environ Sci Pollut Res Int       Date:  2018-10-24       Impact factor: 4.223

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