Literature DB >> 23127623

Speciation of heavy metals in River Rhine.

Flora A Vega1, Liping Weng.   

Abstract

Chemical speciation of Zn, Cu, Ni, Cd and Pb in River Rhine was studied by measuring free ion concentration and distribution in nanoparticles, and by comparing the measurement with speciation modeling. Concentrations of free metal ions were determined in situ using Donnan Membrane Technique (DMT). The percentage of free over total (filtered) metal concentration is 52%, 33%, 2.6%, 0.48% and 0.12% for respectively Zn, Cd, Ni, Pb and Cu, i.e. the degree of metal complexation in the river is the lowest for Zn and the highest for Cu. Metals in 1-300 nm particles were analyzed using Asymmetric Flow Field Flow Fractionation (AsF-FFF), but the overall recovery is quite low. The nano-sized Cu detected is mainly associated with DOM of 1-5 nm, whereas Pb and Zn are dominantly associated with particles of iron hydroxides and clay of larger size (30-100 nm). Free ion concentrations calculated with the speciation modeling are in good agreement with the measurements, except for Pb. Based on the model, DOM-bound is the most important complexed form for Cu and Cd, whereas formation of (bi)carbonate and EDTA complexes are more important for Ni and Zn. Adsorption of Pb to DOM is probably overestimated by the model, whereas Pb adsorption to iron hydroxides is underestimated.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23127623     DOI: 10.1016/j.watres.2012.10.012

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

1.  Heavy metal distribution and water quality characterization of water bodies in Louisiana's Lake Pontchartrain Basin, USA.

Authors:  Zengqiang Zhang; Jim J Wang; Amjad Ali; Ronald D DeLaune
Journal:  Environ Monit Assess       Date:  2016-10-20       Impact factor: 2.513

2.  Assessment of Trace Metals Contamination, Species Distribution and Mobility in River Sediments Using EDTA Extraction.

Authors:  Małgorzata Wojtkowska; Jan Bogacki
Journal:  Int J Environ Res Public Health       Date:  2022-06-07       Impact factor: 4.614

3.  Ionic-liquid-based hollow-fiber liquid-phase microextraction method combined with hybrid artificial neural network-genetic algorithm for speciation and optimized determination of ferro and ferric in environmental water samples.

Authors:  Iman Saeidi; Behruz Barfi; Alireza Asghari; Abdorreza Alavi Gharahbagh; Azadeh Barfi; Moazameh Peyrovi; Maryam Afsharzadeh; Mostafa Hojatinasab
Journal:  Environ Monit Assess       Date:  2015-09-17       Impact factor: 2.513

4.  Simultaneous automatic electrochemical detection of zinc, cadmium, copper and lead ions in environmental samples using a thin-film mercury electrode and an artificial neural network.

Authors:  Jiri Kudr; Hoai Viet Nguyen; Jaromir Gumulec; Lukas Nejdl; Iva Blazkova; Branislav Ruttkay-Nedecky; David Hynek; Jindrich Kynicky; Vojtech Adam; Rene Kizek
Journal:  Sensors (Basel)       Date:  2014-12-30       Impact factor: 3.576

5.  The effect of experimental conditions on the formation of dixanthogen by triiodide oxidation in the determination of ethyl xanthate by HPLC-ICP-MS/MS.

Authors:  Ronja Suvela; Simon Genevrais; Matti Niemelä; Paavo Perämäki
Journal:  Anal Sci       Date:  2022-07-07       Impact factor: 1.967

  5 in total

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