Wood-based biochar for the removal of potentially toxic elements in water and wastewater: a critical review
Abstract
Recently, biochar has received significant attention, especially for the removal of potentially toxic elements (PTEs) from water and wastewater. No review has been focused on the potential use of wood-based biochar (WB) for the removal of PTEs in water and wastewater. Here, we have critically reviewed the (i) preparation and characterisation of WB; (ii) removal efficiency of WB for PTEs in water with respect to its physicochemical characteristics, biochar/water ratio, pH, and sorption system; (iii) removal mechanisms of PTEs by WB; (iv) fate of the sorbed PTEs onto WB; and (v) recovery of the sorbed PTEs from the resultant sludge of WB. We also discussed the removal of PTEs by engineered/designer WB as compared to pristine WB. This review demonstrates the overarching scientific opportunities for a comprehensive understanding of using WB as an emerging biosorbent and a promising low-cost and effective material for the remediation of PTEs contaminated water.
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Biochar is emerging as an effective and safe natural adsorbent that can capture CO2 and remove diverse organic and inorganic contaminants from solid, aqueous, and/or gaseous media.
“biochar is emerging as an effective and safe natural adsorbent that can capture CO2229 and remove diverse organic contaminants152 (e.g., antibiotics, aromatic dyes, agrochemicals, polychlorinated biphenyls, and polycyclic aromatic hydrocarbons) and inorganic contaminants (e.g., phosphate, ammonia, sulfide, and heavy metals) from solid, aqueous, and/or gaseous media.137,230, 231, 232”
From Technologies and perspectives for achieving carbon neutrality (2021) · cites this paper as [230]
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Self-citation
- Authors
- Shaheen, S. M., Niazi, N. K., Hassan, N. E. E., Bibi, I., Wang, H., Tsang, D. C. W., Ok, Y. S., Bolan, N., & Rinklebe, J.
- Affiliations
- Kafrelsheikh University (EG)
- University of Bremen (DE)
- Agricultural Research Center (EG)
- Zhejiang A & F University (CN)
- Hong Kong Polytechnic University (HK)
- Korea University (KR)
- CRC CARE (AU)
- University of Wuppertal (DE)
- Corresponding author
- Rinklebe, Jörg
- ORCID
- Venue
- International Materials Reviews
- Publisher
- SAGE Publications
- Published
- 2018-07-02
- Volume
- 64
- Issue
- 4
- Pages
- 216-247
- ISSN
- 0950-6608 (ISSN-L)
- 1743-2804
- OpenAlex
- W2810524590
- Semantic Scholar
- 236872fd9a3b6f4bd4a74925b32a8c9d611b21b4
- Cited by
- 527
- References
- 210
- Citations by year
- 2026: 32 · 2025: 52 · 2024: 66 · 2023: 85 · 2022: 78 · 2021: 93 · 2020: 65 · 2019: 47 · 2018: 7
- FWCI
- 23.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Materials Reviews (publishedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Funders
- International Foundation for Science
- Higher Education Commission, Pakistan (6425/Punjab/NRPU/R&D/HEC/2016, 6396/Punjab/NRPU/R&D/HEC/2016)
- University of Agriculture Faisalabad
- Alexander von Humboldt-Stiftung Humboldt Foundation
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Adsorption and biosorption for pollutant removal
- Physical Sciences › Engineering › Biomedical Engineering › Environmental remediation with nanomaterials
- Physical Sciences › Environmental Science › Water Science and Technology › Heavy Metal Pollution Remediation
- Keywords
- wood-based biochar, potentially toxic elements, heavy metal removal, biosorption, wastewater treatment, water remediation, engineered biochar, sorption mechanism, biochar preparation, sludge recovery, low-cost adsorbent
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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.
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