Literature DB >> 27061366

Copper binding to soil fulvic and humic acids: NICA-Donnan modeling and conditional affinity spectra.

Jinling Xu1, Wenfeng Tan2, Juan Xiong3, Mingxia Wang3, Linchuan Fang4, Luuk K Koopal5.   

Abstract

Binding of Cu(II) to soil fulvic acid (JGFA), soil humic acids (JGHA, JLHA), and lignite-based humic acid (PAHA) was investigated through NICA-Donnan modeling and conditional affinity spectrum (CAS). It is to extend the knowledge of copper binding by soil humic substances (HS) both in respect of enlarging the database of metal ion binding to HS and obtaining a good insight into Cu binding to the functional groups of FA and HA by using the NICA-Donnan model to unravel the intrinsic and conditional affinity spectra. Results showed that Cu binding to HS increased with increasing pH and decreasing ionic strength. The amount of Cu bound to the HAs was larger than the amount bound to JGFA. Milne's generic parameters did not provide satisfactory predictions for the present soil HS samples, while material-specific NICA-Donnan model parameters described and predicted Cu binding to the HS well. Both the 'low' and 'high' concentration fitting procedures indicated a substantial bidentate structure of the Cu complexes with HS. By means of CAS underlying NICA isotherm, which was scarcely used, the nature of the binding at different solution conditions for a given sample and the differences in binding mode were illustrated. It was indicated that carboxylic group played an indispensable role in Cu binding to HS in that the carboxylic CAS had stronger conditional affinity than the phenolic distribution due to its large degree of proton dissociation. The fact was especially true for JGFA and JLHA which contain much larger amount of carboxylic groups, and the occupation of phenolic sites by Cu was negligible. Comparable amounts of carboxylic and phenolic groups on PAHA and JGHA, increased the occupation of phenolic type sites by Cu. The binding strength of PAHA-Cu and JGHA-Cu was stronger than that of JGFA-Cu and JLHA-Cu. The presence of phenolic groups increased the chance of forming more stable complexes, such as the salicylate-Cu or catechol-Cu type structures.
Copyright © 2016. Published by Elsevier Inc.

Entities:  

Keywords:  Conditional affinity spectrum (CAS); Cu binding; Fulvic acid; Humic acid; Humic substance; NICA-Donnan model; Speciation

Year:  2016        PMID: 27061366     DOI: 10.1016/j.jcis.2016.03.066

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  5 in total

1.  Trace metals pollution of waters and soils in Kardjali region, Bulgaria.

Authors:  Diana Rabadjieva; Antonina Kovacheva; Stefka Tepavitcharova; Manos Dassenakis; Sotirios Karavoltsos
Journal:  Environ Monit Assess       Date:  2018-06-07       Impact factor: 2.513

2.  Performance of a kerb side inlet to irrigate street trees and to improve road runoff water quality: a comparison of four media types.

Authors:  Harsha Sapdhare; Baden Myers; Simon Beecham; Chris Brien
Journal:  Environ Sci Pollut Res Int       Date:  2018-09-08       Impact factor: 4.223

3.  The copper complexation ability of a synthetic humic-like acid formed by an abiotic humification process and the effect of experimental factors on its copper complexation ability.

Authors:  Ting Yang; Mark E Hodson
Journal:  Environ Sci Pollut Res Int       Date:  2018-03-26       Impact factor: 4.223

4.  Effects of Medium-Term Amendment with Diversely Processed Sewage Sludge on Soil Humification-Mineralization Processes and on Cu, Pb, Ni, and Zn Bioavailability.

Authors:  Gabriella Rossi; Claudio Beni
Journal:  Plants (Basel)       Date:  2018-03-02

5.  Effects of pharmacological modulators of α-synuclein and tau aggregation and internalization.

Authors:  Antonio Dominguez-Meijide; Eftychia Vasili; Annekatrin König; Maria-Sol Cima-Omori; Alain Ibáñez de Opakua; Andrei Leonov; Sergey Ryazanov; Markus Zweckstetter; Christian Griesinger; Tiago F Outeiro
Journal:  Sci Rep       Date:  2020-07-30       Impact factor: 4.379

  5 in total

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