The DOI matches its Crossref record; 186 of the 186 references it cites were found in a registry or an index.
A review of technologies for the phenolic compounds recovery and phenol removal from wastewater
Abstract
Abstract The immoderate amount of phenol found in the water reservoir, i.e., river and municipal drain, has served as one major contributor to the scarcity of potable water worldwide. Many conventional methods have been applied to tackle polluted phenol water but suffer from various drawbacks. Special attention has been given to the photocatalytic membrane due to its ability to degrade phenol and sieving, a 2-in-1 function. Hence, this extensive report reviewed the extant trends in phenol removal such as distillation, adsorption, biodegradation, chemical oxidation, electrochemical oxidation, enzymatic treatment, and membrane technology. The in-depth discussion concerning the utilization of membrane as photocatalyst support media is also conferred, which could be the trendsetter in several years to come.
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Cites
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Cited by
Abidli, A., Huang, Y., Ben Rejeb, Z., Zaoui, A., & Park, C. B. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2021.133102 · Cited by 194
Metadata
- Authors
- Mohamad Said, K. A., Ismail, A. F., Abdul Karim, Z., Abdullah, M. S., & Hafeez, A.
- Venue
- Process Safety and Environmental Protection
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 151
- Pages
- 257-289
- ISSN
- 0263-8762 (ISSN-L)
- 0957-5820
- OpenAlex
- W3163388203
- Cited by
- 319
- References
- 186
- FWCI
- 15.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mohamad Said, K. A., Ismail, A. F., Abdul Karim, Z., Abdullah, M. S., & Hafeez, A. (2021). A review of technologies for the phenolic compounds recovery and phenol removal from wastewater. Process Safety and Environmental Protection. https://doi.org/10.1016/j.psep.2021.05.015
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
