ISWC OpenIR  > 水保所2018--届毕业生论文
Copper binding to soil fulvic and humic acids: NICA-Donnan modeling and conditional affinity spectra
Xu, Jinling; Fang, Linchuan
2016
Source PublicationJournal of Colloid and Interface Science
Issue473Pages:141-151
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.

KeywordHumic Substance Humic Acid Fulvic Acid Cu Binding Nica-donnan Model Speciation Conditional Affinity Spectrum (Cas)
MOST Discipline Catalogue农学
DOI10.1016/j.jcis.2016.03.066
URL查看原文
Indexed BySCI
Language英语
Citation statistics
Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.iswc.ac.cn/handle/361005/8809
Collection水保所2018--届毕业生论文
AffiliationState Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and the Ministry of Water Resources, Yangling, Shaanxi Province 712100, PR China
Recommended Citation
GB/T 7714
Xu, Jinling,Fang, Linchuan. Copper binding to soil fulvic and humic acids: NICA-Donnan modeling and conditional affinity spectra[J]. Journal of Colloid and Interface Science,2016(473):141-151.
APA Xu, Jinling,&Fang, Linchuan.(2016).Copper binding to soil fulvic and humic acids: NICA-Donnan modeling and conditional affinity spectra.Journal of Colloid and Interface Science(473),141-151.
MLA Xu, Jinling,et al."Copper binding to soil fulvic and humic acids: NICA-Donnan modeling and conditional affinity spectra".Journal of Colloid and Interface Science .473(2016):141-151.
Files in This Item: Download All
File Name/Size DocType Version Access License
Copper binding to so(1177KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xu, Jinling]'s Articles
[Fang, Linchuan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xu, Jinling]'s Articles
[Fang, Linchuan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xu, Jinling]'s Articles
[Fang, Linchuan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Copper binding to soil fulvic and humic acids NICA-Donnan modeling.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.