Role of nanomaterials as adsorbents in heavy metal ion removal from waste water: A review
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Nanoadsorbents utilize nanoscale dimensions along with modified surface chemistry, resulting in a considerably higher surface-to-volume ratio, enhanced density of active binding sites, and distinct physicochemical properties that can be modified for particular applications.
“Nanoadsorbents utilize nanoscale dimensions along with modified surface chemistry, resulting in a considerably higher surface-to-volume ratio, enhanced density of active binding sites, and distinct physicochemical properties that can be modified for particular applications.180”
From Emerging nanotechnology approaches for sustainable water treatment and heavy metals removal: a comprehensive review (2025) · cites this paper as [180]
Researchers have investigated various nanomaterials for the adsorption of heavy metals, including carbon-based, zeolites, polymer-based, metal-based, silica, metal-organic frameworks (MOFs), and layered double hydroxides.
“Researchers have investigated various nanomaterials for the adsorption of heavy metals, including carbon-based, zeolites, polymer-based, metal-based, silica, metal–organic frameworks (MOFs), and layered double hydroxides.174,180”
From Emerging nanotechnology approaches for sustainable water treatment and heavy metals removal: a comprehensive review (2025) · cites this paper as [180]
Nanoscale engineering enables precise alterations in particle size, shape, and surface chemistry, thereby optimizing adsorption kinetics and capacity for specific heavy metals.
“Nanoscale engineering enables precise alterations in particle size, shape, and surface chemistry, thereby optimizing adsorption kinetics and capacity for specific heavy metals.176,180”
From Emerging nanotechnology approaches for sustainable water treatment and heavy metals removal: a comprehensive review (2025) · cites this paper as [180]
Nano-structuring zeolites increases the surface-area-to-volume ratio, reduces diffusion path lengths, and improves adsorption kinetics and capacity for heavy metals.
“Nano-structuring zeolites increases the surface-area-to-volume ratio, reduces diffusion path lengths, and improves adsorption kinetics and capacity for heavy metals.62,180,215”
From Emerging nanotechnology approaches for sustainable water treatment and heavy metals removal: a comprehensive review (2025) · cites this paper as [180]
Montmorillonite/graphene composites achieved 247.85 mg g−1 for Pb2+.
“Graphene oxide composites have improved performance; for instance, montmorillonite/graphene composites achieved 247.85 mg g−1 for Pb2+.180”
From Emerging nanotechnology approaches for sustainable water treatment and heavy metals removal: a comprehensive review (2025) · cites this paper as [180]
The adsorption performance of polymer-based nanoadsorbents is affected by variables like pH, contact duration, nanoparticle loading, polymer modification, and the existence of competing ions.
“Their adsorption performance is affected by variables like pH, contact duration, nanoparticle loading, polymer modification, and the existence of competing ions.”
From Emerging nanotechnology approaches for sustainable water treatment and heavy metals removal: a comprehensive review (2025) · cites this paper as [180]
Chitosan/magnetite nanocomposites efficiently eliminate Pb2+, Cd2+, and Cr(vi), offering the benefit of magnetic recovery, while chitosan/silver nanocomposites integrate heavy metal removal with antibacterial properties.
“Chitosan/magnetite nanocomposites efficiently eliminate Pb2+, Cd2+, and Cr(vi), offering the benefit of magnetic recovery, while chitosan/silver nanocomposites integrate heavy metal removal with antibacterial properties.180,212”
From Emerging nanotechnology approaches for sustainable water treatment and heavy metals removal: a comprehensive review (2025) · cites this paper as [180]
Polymer-based nanoadsorbents function via many processes, such as surface complexation, ion exchange, electrostatic attraction, chelation, and, in some instances, photocatalytic degradation when photoactive nanoparticles are included.
“Polymer-based nanoadsorbents function via many processes, such as surface complexation, ion exchange, electrostatic attraction, chelation, and, in some instances, photocatalytic degradation when photoactive nanoparticles are included.180,212”
From Emerging nanotechnology approaches for sustainable water treatment and heavy metals removal: a comprehensive review (2025) · cites this paper as [180]
Polymer-based nanoadsorbents provide a viable platform for enhanced water remediation, integrating the functionality of customized polymer matrices with the high reactivity of nanomaterials.
“Polymer-based nanoadsorbents provide a viable platform for enhanced water remediation, integrating the functionality of customized polymer matrices with the high reactivity of nanomaterials.”
From Emerging nanotechnology approaches for sustainable water treatment and heavy metals removal: a comprehensive review (2025) · cites this paper as [180]
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Park, S., Gomez-Flores, A., Chung, Y. S., & Kim, H. (2015) · Journal of Chemistry · doi:10.1155/2015/396290 · Cited by 44 · see citing works
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Deravanesiyan, M., Beheshti, M., & Malekpour, A. (2015) · Journal of Molecular Liquids · doi:10.1016/j.molliq.2015.05.038 · Cited by 38 · see citing works
Adsorption of Lead(II) from Water by Carbon Nanotubes: Equilibrium, Kinetics, and Thermodynamics
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Efficient heavy metal ion removal by triazinyl-β-cyclodextrin functionalized iron nanoparticles
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Rajendran, S., Priya, T. A. K., Khoo, K. S., Hoang, T. K. A., Ng, H.-S., Munawaroh, H. S. H., Karaman, C., Orooji, Y., & Show, P. L. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2021.132369 · Cited by 570 · see citing works
Zhang, T., Wang, W., Zhao, Y., Bai, H., Wen, T., Kang, S., Song, G., Song, S., & Komarneni, S. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2020.127574 · Cited by 513 · see citing works
Mechanism and kinetics of adsorption and removal of heavy metals from wastewater using nanomaterials
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R., J., Gurunathan, B., K, S., Varjani, S., Ngo, H. H., & Gnansounou, E. (2022) · Environmental Research · doi:10.1016/j.envres.2021.111815 · Cited by 163 · see citing works
Transformation of solid plastic waste to activated carbon fibres for wastewater treatment
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Hussein, E. B., Rasheed, F. A., Mohammed, A. S., & Kayani, K. F. (2025) · RSC Advances · doi:10.1039/d5ra06914a · Cited by 86 · see citing works
“180,215 Graphene oxide interacts with heavy metal ions mostly via complexation at oxide binding sites, exhibiting capacities of 243.9 mg g − 1 for Zn 2+ (ref.”
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Covalent and Non-covalent Functionalized Nanomaterials for Environmental Restoration
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Synthesis of Nano-silica Oxide for Heavy Metal Decontamination from Aqueous Solutions
Meky, N., Salama, E., Soliman, M. F., Naeem, S. G., Ossman, M., & Elsayed, M. (2024) · Water, Air, & Soil Pollution · doi:10.1007/s11270-024-06944-6 · Cited by 23 · see citing works
- Authors
- Wadhawan, S., Jain, A., Nayyar, J., & Mehta, S. K.
- Affiliations
- Panjab University (IN)
- Corresponding author
- Wadhawan, Shweta
- Venue
- Journal of Water Process Engineering
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 33
- Pages
- 101038
- ISSN
- 2214-7144 (ISSN-L)
- OpenAlex
- W2983111017
- Cited by
- 530
- References
- 111
- Citations by year
- 2026: 42 · 2025: 74 · 2024: 86 · 2023: 96 · 2022: 92 · 2021: 98 · 2020: 41 · 2019: 1
- FWCI
- 3.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Water Process Engineering (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
- nanoadsorbents, heavy metal ion removal, wastewater treatment, nanomaterial synthesis, adsorption capacity, adsorption kinetics, adsorption isotherms, pH effect, ionic strength, metal ion selectivity
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.
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