Literature DB >> 25561259

Prediction of the sorption capacities and affinities of organic chemicals by XAD-7.

Kun Yang1,2, Long Qi3,4, Wei Wei3,4, Wenhao Wu3,4, Daohui Lin3,4.   

Abstract

Macro-porous resins are widely used as adsorbents for the treatment of organic contaminants in wastewater and for the pre-concentration of organic solutes from water. However, the sorption mechanisms for organic contaminants on such adsorbents have not been systematically investigated so far. Therefore, in this study, the sorption capacities and affinities of 24 organic chemicals by XAD-7 were investigated and the experimentally obtained sorption isotherms were fitted to the Dubinin-Ashtakhov model. Linear positive correlations were observed between the sorption capacities and the solubilities (SW) of the chemicals in water or octanol and between the sorption affinities and the solvatochromic parameters of the chemicals, indicating that the sorption of various organic compounds by XAD-7 occurred by non-linear partitioning into XAD-7, rather than by adsorption on XAD-7 surfaces. Both specific interactions (i.e., hydrogen-bonding interactions) as well as nonspecific interactions were considered to be responsible for the non-linear partitioning. The correlation equations obtained in this study allow the prediction of non-linear partitioning using well-known chemical parameters, namely SW, octanol-water partition coefficients (KOW), and the hydrogen-bonding donor parameter (αm). The effect of pH on the sorption of ionizable organic compounds (IOCs) could also be predicted by combining the correlation equations with additional equations developed from the estimation of IOC dissociation rates. The prediction equations developed in this study and the proposed non-linear partition mechanism shed new light on the selective removal and pre-concentration of organic solutes from water and on the regeneration of exhausted XAD-7 using solvent extraction.

Entities:  

Keywords:  Non-linear partition; Organic contaminants; Prediction; Sorption; XAD-7

Mesh:

Substances:

Year:  2015        PMID: 25561259     DOI: 10.1007/s11356-014-4012-3

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  16 in total

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3.  Correlations of nonlinear sorption of organic solutes with soil/sediment physicochemical properties.

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Journal:  Chemosphere       Date:  2005-04-20       Impact factor: 7.086

4.  Modeling synergistic adsorption of phenol/aniline mixtures in the aqueous phase onto porous polymer adsorbents.

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Journal:  J Colloid Interface Sci       Date:  2006-11-21       Impact factor: 8.128

5.  A modified Polanyi-based model for mechanistic understanding of adsorption of phenolic compounds onto polymeric adsorbents.

Authors:  Bingjun Pan; Huichun Zhang
Journal:  Environ Sci Technol       Date:  2012-05-25       Impact factor: 9.028

6.  Structure- and property-activity relationship models for prediction of microbial toxicity of organic chemicals to activated sludge.

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Journal:  Ecotoxicol Environ Saf       Date:  1998-02       Impact factor: 6.291

7.  Batch and column study: sorption of perfluorinated surfactants from water and cosolvent systems by Amberlite XAD resins.

Authors:  Feng Xiao; Kerry Jade Davidsavor; Sangyoo Park; Michio Nakayama; Brian Ray Phillips
Journal:  J Colloid Interface Sci       Date:  2011-11-19       Impact factor: 8.128

8.  Competitive sorption of pyrene, phenanthrene, and naphthalene on multiwalled carbon nanotubes.

Authors:  Kun Yang; Xilong Wang; Lizhong Zhu; Baoshan Xing
Journal:  Environ Sci Technol       Date:  2006-09-15       Impact factor: 9.028

9.  Efficient removal of aromatic sulfonates from wastewater by a recyclable polymer: 2-naphthalene sulfonate as a representative pollutant.

Authors:  Bingjun Pan; Weiming Zhang; Bingcai Pan; Hui Qiu; Qingrui Zhang; Quanxing Zhang; Shourong Zheng
Journal:  Environ Sci Technol       Date:  2008-10-01       Impact factor: 9.028

10.  Adsorption and hysteresis of bisphenol A and 17alpha-ethinyl estradiol on carbon nanomaterials.

Authors:  Bo Pan; Daohui Lin; Hamid Mashayekhi; Baoshan Xing
Journal:  Environ Sci Technol       Date:  2008-08-01       Impact factor: 9.028

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