Treatment of heavy metals containing wastewater using biodegradable adsorbents: a review of mechanism and future trends
Abstract
The direct disposal of industrial effluents into the aquatic system is considered as a significant environmental hazard in many countries. Because of poisonous chemicals, substantial volumes of effluent release, as well as the lack of adequate of conventional treatment methodologies, industrial effluent treatment is extremely difficult. Numerous researchers have been interested in adsorption technology for its high efficiency of pollutant removal, low cost, and abundantly available adsorbent. Various adsorbent materials, both natural and modified form, have been widely used for the removal of toxic contaminants from industrial effluent. This paper highlights recent advancements in multiple modification types to functionalize the adsorbent material, resulting in higher adsorption capacity on various toxic pollutants. This review provides an overview of the adsorption mechanism and parameters (pH, adsorbent dosage, initial concentration, temperature and interaction time), which influencing the removal efficiency of adsorbents. Furthermore, this review compiles the desorption study to recover the adsorbent and improve the cycle's financial viability. This review provides a concise overview of the future directions and outlook in the framework of adsorbent application for industrial wastewater treatment.
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Adsorption could be the best option for removing heavy metals because of low cost, easy operation, no additional operating cost for sludge removal, short duration time, and applicability for many applications.
“However, adsorption could be the best option for this purpose because of the low cost, easy operation, no additional operating cost for sludge removal, short duration time, and applicability for many applications (Anderson et al., 2022;Barakat, 2011;Chakraborty et al., 2022).”
From Adsorption of heavy metals on natural zeolites: A review (2023) · cites this paper as Anderson et al., 2022
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Adsorption of heavy metals on natural zeolites: A review
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“However, adsorption could be the best option for this purpose because of the low cost, easy operation, no additional operating cost for sludge removal, short duration time, and applicability for many applications (Anderson et al., 2022; Barakat, 2011; Chakraborty et al., 2022).”
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Recent advances in wastewater microalgae-based biofuels production: A state-of-the-art review
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- Authors
- Anderson, A., Anbarasu, A., Pasupuleti, R. R., Manigandan, S., Praveenkumar, T. R., & Aravind Kumar, J.
- Affiliations
- Sathyabama Institute of Science and Technology (IN)
- Kaohsiung Medical University (TW)
- Wollega University (ET)
- Corresponding author
- Manigandan, Sekar
- Venue
- Chemosphere
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 295
- Pages
- 133724
- ISSN
- 0045-6535 (ISSN-L)
- OpenAlex
- W4210281927
- Cited by
- 124
- References
- 139
- Citations by year
- 2026: 15 · 2025: 31 · 2024: 37 · 2023: 29 · 2022: 12
- FWCI
- 1.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Chemosphere (publishedVersion)
- PubMed (publishedVersion)
- 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
- heavy metal removal, industrial wastewater treatment, adsorption, biodegradable adsorbents, adsorbent modification, adsorption mechanism, adsorption parameters, desorption, adsorbent regeneration, natural adsorbents
- MeSH terms
- Adsorption, Water Pollutants, Chemical, Water Purification, Metals, Heavy, Wastewater
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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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