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Cited by 258

The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.

3D graphene-based gel photocatalysts for environmental pollutants degradation

Zhang, Fan, Li, Yue-Hua, Li, Jing-Yu, Tang, Zi-Rong, Xu, Yi-Jun·2019·Environmental Pollution

Abstract

Enormous research interest is devoted to fabricating three-dimensional graphene-based gels (3D GBGs) toward improved conversion of solar energy by virtue of the intrinsic properties of single graphene and 3D porous structure characteristics. Here, this concise minireview is primarily focused on the recent progress on applications of 3D GBGs, including aerogels and hydrogels, in photocatalytic degradation of pollutants from water and air, such as organic pollutants, heavy metal ions, bacteria and gaseous pollutants. In particular, the preponderances of 3D GBG photocatalysts for environmental pollutants degradation have been elaborated. Furthermore, in addition to discussing opportunities offered by 3D GBG composite photocatalysts, we also describe the existing problems and the future direction of 3D GBG materials in this burgeoning research area. It is hoped that this review could spur multidisciplinary research interest for advancing the rational utilization of 3D GBGs for practical applications in environmental remediation.

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Metadata

Authors
Zhang, F., Li, Y.-H., Li, J.-Y., Tang, Z.-R., & Xu, Y.-J.
Venue
Environmental Pollution
Publisher
Elsevier BV
Published
2019-10
Volume
253
Pages
365-376
ISSN
0269-7491 (ISSN-L)
OpenAlex
W2957084200
Cited by
258
References
111
FWCI
8.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: 3D graphene-based gel photocatalysts for environmental pollutants degradation. https://app.cochat.ai/papers/10.1016/j.envpol.2019.06.089
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Zhang, F., Li, Y.-H., Li, J.-Y., Tang, Z.-R., & Xu, Y.-J. (2019). 3D graphene-based gel photocatalysts for environmental pollutants degradation. Environmental Pollution. https://doi.org/10.1016/j.envpol.2019.06.089

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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