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Cited by 787

The DOI matches its Crossref record; 140 of the 140 references it cites were found in a registry or an index.

Nanotechnology for Environmental Remediation: Materials and Applications

Open access
Guerra, Fernanda D., Attia, Mohamed F., Whitehead, Daniel C., Alexis, Frank·2018·Molecules

Abstract

Environmental remediation relies mainly on using various technologies (e.g., adsorption, absorption, chemical reactions, photocatalysis, and filtration) for the removal of contaminants from different environmental media (e.g., soil, water, and air). The enhanced properties and effectiveness of nanotechnology-based materials makes them particularly suitable for such processes given that they have a high surface area-to-volume ratio, which often results in higher reactivity. This review provides an overview of three main categories of nanomaterials (inorganic, carbon-based, and polymeric-based materials) used for environmental remediation. The use of these nanomaterials for the remediation of different environmental contaminants—such as heavy metals, dyes, chlorinated organic compounds, organophosphorus compounds, volatile organic compounds, and halogenated herbicides—is reviewed. Various recent examples are extensively highlighted focusing on the materials and their applications.

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Crossref · 10.3390/molecules23071760

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Metadata

Authors
Guerra, F. D., Attia, M. F., Whitehead, D. C., & Alexis, F.
Venue
Molecules
Publisher
MDPI AG
Published
2018-07-18
Volume
23
Issue
7
Pages
1760
ISSN
1420-3049 (ISSN-L)
OpenAlex
W2883260922
Cited by
787
References
140
FWCI
18.03
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Nanotechnology for Environmental Remediation: Materials and Applications. https://app.cochat.ai/papers/10.3390/molecules23071760
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Guerra, F. D., Attia, M. F., Whitehead, D. C., & Alexis, F. (2018). Nanotechnology for Environmental Remediation: Materials and Applications. Molecules. https://doi.org/10.3390/molecules23071760

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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.