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Cited by 509

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

A comprehensive review on the chemical regeneration of biochar adsorbent for sustainable wastewater treatment

Open access
Alsawy, Tariq, Rashad, Emanne, El-Qelish, Mohamed, Mohammed, Ramy H.·2022·npj Clean Water

Abstract

The chemical regeneration process has been extensively applied to reactivate biochar, supporting its reusability and leading to significant operating cost reduction. However, no recent review discusses the effectiveness of biochar chemical regeneration. Thus, this article comprehensively reviews the chemical regeneration of biochar contaminated with organic and inorganic pollutants. Performance of the chemical regeneration depends on adsorption mechanism, functional groups, adsorbent pore structure, and changes in active adsorbent sites. Secondary contamination is one of the challenges facing the sustainable adaptation of the chemical regeneration process in the industry. The paper discusses these challenges and draws a roadmap for future research to support sustainable wastewater treatment by biochar.

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Registry

Crossref · 10.1038/s41545-022-00172-3

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Metadata

Authors
Alsawy, T., Rashad, E., El-Qelish, M., & Mohammed, R. H.
Venue
npj Clean Water
Published
2022-07-11
Volume
5
Issue
1
ISSN
2059-7037 (ISSN-L)
OpenAlex
W4285043499
Cited by
509
References
11
FWCI
23.47
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A comprehensive review on the chemical regeneration of biochar adsorbent for sustainable wastewater treatment. https://app.cochat.ai/papers/10.1038/s41545-022-00172-3
The paper
Alsawy, T., Rashad, E., El-Qelish, M., & Mohammed, R. H. (2022). A comprehensive review on the chemical regeneration of biochar adsorbent for sustainable wastewater treatment. npj Clean Water. https://doi.org/10.1038/s41545-022-00172-3

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.