Literature DB >> 33234308

Highly improved dechlorination of 2,4-dichlorophenol in aqueous solution by Fe/Ni nanoparticles supported by polystyrene resin.

Zhiyong Zhang1, Yi-Bo Hu2, Wenjuan Ruan3, Huiying Ai1, Baoling Yuan4, Ming-Lai Fu5.   

Abstract

2,4-dichlorophenol (2,4-DCP) is a typical chlorophenol that has been widely used in industrial production and caused serious pollution to the environment. In this study, the performance of Fe/Ni bimetallic nanoparticles supported on polystyrene cation exchange resin (Fe/Ni-D072) to remove 2,4-DCP was evaluated. The effects including the doping amount of Ni, the dosage of Fe/Ni-DCP, the initial concentration of 2,4-DCP, and pH value of the solution on the removal efficiency were also investigated. The results showed that when the initial concentration of 2,4-DCP was 20 mg/L and pH = 7.3, 90% of 2,4-DCP could be dechlorinated by Fe/Ni-D072 (Ni% = 30 wt%, dosage: 6.7 g/L) after 12 h reaction. The dechlorination process followed a pseudo-first-order model, and the reaction constant was 0.252 h-1. In addition, the effects of humic acid and common coexisting ions on dechlorination were studied. The results showed that humic acid with a low concentration (5 mg/L) and CO32- restrained the degradation of 2,4-DCP. The dechlorination products of 2,4-DCP were identified by HPLC and the result showed phenol was the main product with a slight amount of 2-CP as the dechlorination intermediate, and 4-CP was barely detected. These results suggest that Fe/Ni-D072 was a promising catalytic material for the removal of chlorophenol and has great application prospects in groundwater remediation.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  2; 4-DCP; Dechlorination; Fe/Ni nanoparticles; Polystyrene resin

Year:  2020        PMID: 33234308     DOI: 10.1016/j.chemosphere.2020.128976

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  5 in total

1.  Optimization of Dechlorination Experiment Design Using Lightweight Deep Learning Model.

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Journal:  Comput Intell Neurosci       Date:  2022-06-25

2.  Experimental Identification of the Roles of Fe, Ni and Attapulgite in Nitroreduction and Dechlorination of p-Chloronitrobenzene by Attapulgite-Supported Fe/Ni Nanoparticles.

Authors:  Jing Liang; Junwen Wang; Hong Liu; Emmanuella Anang; Xianyuan Fan
Journal:  Materials (Basel)       Date:  2022-02-08       Impact factor: 3.623

3.  The Performance and Mechanism of a Mg-Al Double-Layer Oxide in Chloride ion Removal from an Aqueous Solution.

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Journal:  Nanomaterials (Basel)       Date:  2022-03-02       Impact factor: 5.076

4.  Evaluation of In Vitro Cytotoxic, Genotoxic, Apoptotic, and Cell Cycle Arrest Potential of Iron-Nickel Alloy Nanoparticles.

Authors:  Özgür Vatan
Journal:  Toxics       Date:  2022-08-24

5.  Carbothermal Synthesis of Ni/Fe Bimetallic Nanoparticles Embedded into Graphitized Carbon for Efficient Removal of Chlorophenol.

Authors:  Min Zhuang; Wen Shi; Hui Wang; Liqiang Cui; Guixiang Quan; Jinlong Yan
Journal:  Nanomaterials (Basel)       Date:  2021-05-27       Impact factor: 5.076

  5 in total

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