Literature DB >> 32364131

Fe3O4 nanoparticles loading on cow dung based activated carbon as an efficient catalyst for catalytic microbubble ozonation of biologically pretreated coal gasification wastewater.

Sen Hou1, Shengyong Jia2, Jinjin Jia1, Zhengguang He1, Guirong Li1, Qiting Zuo3, Haifeng Zhuang4.   

Abstract

Cow dung based activated carbon was successfully modified by Fe3O4 nanoparticles as the novel catalyst (Fe3O4 nanoparticles@CDAC) to improve the microbubble ozonation treating biologically pretreated coal gasification wastewater (BPCGW). When the pH, ozone dosage, ozone bubble diameter and catalyst dosage of the ozonation were 7, 0.4 L/min, 5 μm and 3 g/L, the chemical oxygen demand (COD) removal efficiency reached 74% and the ratio of biochemical oxygen demand in five days/COD (BOD5/COD) increased from 0.04 to 0.52, which were attributed to the electron transfer of Fe2+ and Fe3+ in Fe3O4 and enhanced hydroxyl radicals generation by the reaction of iron ions and ozone. Meanwhile, benzene derivatives, naphthalene and aromatic proteins were significantly removed while multiple chain hydrocarbons and their derivatives composed the main residual organic matters. The catalytic activity was slightly decreased even the catalyst has been reused for five times. Therefore, catalytic microbubble ozonation using Fe3O4 nanoparticles@CDAC represented excellent performance treating BPCGW and it is a promising process for wastewater advanced treatment.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biologically pretreated coal gasification wastewater; Catalytic ozonation; Cow dung based activated carbon; Fe(3)O(4) nanoparticles; Microbubble ozone

Year:  2020        PMID: 32364131     DOI: 10.1016/j.jenvman.2020.110615

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  Cow Dung-Based Biochar Materials Prepared via Mixed Base and Its Application in the Removal of Organic Pollutants.

Authors:  Xiaoxin Chen; Gengxin Yu; Yuanhui Chen; Shanshan Tang; Yingjie Su
Journal:  Int J Mol Sci       Date:  2022-09-03       Impact factor: 6.208

  1 in total

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