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Advanced treatment technologies efficacies and mechanism of per- and poly-fluoroalkyl substances removal from water

Ahmed, Mohammad Boshir, Alam, Md. Masruck, Zhou, John L., Xu, Bentuo, Johir, Md Abu Hasan, Karmakar, Aneek Krishna, Rahman, Md. Saifur, Hossen, Jewel, Hasan, A.T.M. Kamrul, Moni, Mohammad Ali·2020·Process Safety and Environmental Protection
DOI 10.1016/j.psep.2020.01.005
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Abstract

Abstract The increasing occurrence of chemically resistant per- and poly-fluoroalkyl substances (PFASs) in the natural environment, animal tissues and even the human body poses a significant health risk. Temporal trend studies on water, sediments, bird, fish, marine mammal and the human show that the exposure of PFAS has significantly increased over the last 20–30 years. Different physical, biological and chemical treatment processes have been investigated for PFAS removal from water. However, there is a lack of detailed understating of the mechanism of removal by different methods, especially by different advanced chemical treatment processes. This article reviews PFASs removal efficacy and mechanism by the advanced chemical treatment methods from aqueous solution. Review shows that several advanced oxidation processes (e.g., electrochemical oxidation, activated persulfate oxidation, photocatalysis, UV-induced oxidation) are successful in degrading PFASs. Moreover, defluorination treatment, some thermal and non-thermal degradation processes are also found to be prominent for the degradation of PFASs with some limitations including process costs over physical treatment (e.g., sorption), production of toxic by-products and greenhouse gases. Finally, knowledge gaps concerning the advanced chemical treatment of PFASs are discussed.

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Metadata

Authors
Ahmed, M. B., Alam, M. M., Zhou, J. L., Xu, B., Johir, M. A. H., Karmakar, A. K., Rahman, M. S., Hossen, J., Hasan, A. T. M. K., & Moni, M. A.
Venue
Process Safety and Environmental Protection
Publisher
Elsevier BV
Published
2020-04
Volume
136
Pages
1-14
ISSN
  • 0263-8762 (ISSN-L)
  • 0957-5820
DOI
10.1016/j.psep.2020.01.005
OpenAlex
W2999103578
Cited by
169
References
10
FWCI
7.56
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Data sources

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.