The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A review on Fenton process for organic wastewater treatment based on optimization perspective
Abstract
Water pollution caused by organic wastewater has become a serious concern worldwide. Fenton oxidation process is one of the most effective and suitable methods for the abatement of organic pollutants. However, the process has three obvious shortcomings: the narrow working pH range, the high costs and risks associated with handling, transportation and storage of reagents (H2O2 and catalyst), the significant iron sludge related second pollution. In order to overcome these shortcomings, various optimized Fenton processes have been widely studied. Therefore, a summary of the study status of Fenton optimization processes is necessary to develop a novel and high efficiency organic wastewater treatment method. Based on the optimization perspective, taking shortcomings of Fenton process as a breakthrough, the fundamentals, advantages and disadvantages of single Fenton optimization processes (heterogeneous Fenton, photo-Fenton and electro-Fenton) for organic wastewater treatment were reviewed and the corresponding reaction mechanism diagrams were drawn in this paper. Then, the feasibility and application of the coupled Fenton optimization processes (photoelectro-Fenton, heterogeneous electro-Fenton, heterogeneous photoelectro-Fenton, three-dimensional electro-Fenton) for organic wastewater treatment were discussed in depth. Additionally, the effect of some important operation parameters (pH and catalyst, H2O2, organic pollutants concentration) on the degradation efficiency of organic pollutants was studied to provide guidance for the optimization of operation parameters. Finally, the possible future research directions for optimized Fenton processes were given. The review aims to assist researchers and engineers to gain fundamental understandings and critical view of Fenton process and its optimization processes, and hopefully with the knowledge it could bring new opportunities for the optimization and future development of Fenton process.
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Cites
Pignatello, J. J., Oliveros, E., & MacKay, A. (2006) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643380500326564 · Cited by 4,133
Electro-Fenton Process and Related Electrochemical Technologies Based on Fenton’s Reaction Chemistry
Brillas, E., Sirés, I., & Oturan, M. A. (2009) · Chemical Reviews · doi:10.1021/cr900136g · Cited by 3,437
LXXIII.—Oxidation of tartaric acid in presence of iron
Fenton, H. J. H. (1894) · J. Chem. Soc., Trans. · doi:10.1039/ct8946500899 · Cited by 3,179
�ber die Katalyse des Hydroperoxydes
Haber, F., & Weiss, J. (1932) · Die Naturwissenschaften · doi:10.1007/bf01504715 · Cited by 513
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Ceramic nanocomposite membranes and membrane fouling: A review
Li, C., Sun, W., Lu, Z., Ao, X., & Li, S. (2020) · Water Research · doi:10.1016/j.watres.2020.115674 · Cited by 474
Treatment technologies and degradation pathways of glyphosate: A critical review
Feng, D., Soric, A., & Boutin, O. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.140559 · Cited by 183
Advanced oxidation processes for the removal of mono and polycyclic aromatic hydrocarbons—A review
Rayaroth, M. P., Marchel, M., & Boczkaj, G. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.159043 · Cited by 158
A Review of Non-Soil Biochar Applications
Bartoli, M., Giorcelli, M., Jagdale, P., Rovere, M., & Tagliaferro, A. (2020) · Materials · doi:10.3390/ma13020261 · Cited by 156
Metadata
- Authors
- Zhang, M.-H., Dong, H., Zhao, L., Wang, D.-X., & Meng, D.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 670
- Pages
- 110-121
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2920930698
- Cited by
- 1,145
- References
- 4
- FWCI
- 47.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhang, M.-H., Dong, H., Zhao, L., Wang, D.-X., & Meng, D. (2019). A review on Fenton process for organic wastewater treatment based on optimization perspective. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2019.03.180
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