Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 351

The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.

Graphene and graphene-based nanocomposites used for antibiotics removal in water treatment: A review

Li, Mei-fang, Liu, Yun-guo, Zeng, Guang-ming, Liu, Ni, Liu, Shao-bo·2019·Chemosphere

Abstract

Due to their extensive application in human and veterinary medicine, antibiotics have been found worldwide and studied as new pollutants in the aquatic environment. In order to remove such pollutants, adsorption and photocatalysis have attracted tremendous attention because of their great potential in antibiotics removal from aqueous solutions. Graphene, as a novel two-dimensional nanomaterial, possesses unique structure and physicochemical properties, which can be used to efficiently adsorb and photodegrade antibiotics. This review provides an overview of the adsorptive and catalytic properties of graphene, and recent advances in adsorption and photodegradation of antibiotics by graphene and its derivatives. The factors that affect the adsorption and photodegradation of antibiotics are reviewed and discussed. Furthermore, the underlying mechanisms of adsorption and photodegradation are summarized and analyzed. Meanwhile, statistical analysis is conducted based on the number of papers and the maximum adsorption and photodegradation ability on various antibiotics removal. Finally, some unsolved problems together with major challenges that exist in the fabrication and application of graphene-based nanocomposites and the development for antibiotics removal is also proposed. This work provides theoretical guidance for subsequent research in the field of adsorption and photocatalytic removal of antibiotics from aqueous solution, especially on influence factors and mechanisms aspects.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.chemosphere.2019.03.117

Cites

108 of 108 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 108 references

Cited by

See all 351

Metadata

Authors
Li, M.-F., Liu, Y.-G., Zeng, G.-M., Liu, N., & Liu, S.-B.
Venue
Chemosphere
Publisher
Elsevier BV
Published
2019-07
Volume
226
Pages
360-380
ISSN
0045-6535 (ISSN-L)
OpenAlex
W2922763877
Cited by
351
References
108
FWCI
16.90
Type
journal article
Language
en
Open access
closed

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Graphene and graphene-based nanocomposites used for antibiotics removal in water treatment: A review. https://app.cochat.ai/papers/10.1016/j.chemosphere.2019.03.117
The paper
Li, M.-F., Liu, Y.-G., Zeng, G.-M., Liu, N., & Liu, S.-B. (2019). Graphene and graphene-based nanocomposites used for antibiotics removal in water treatment: A review. Chemosphere. https://doi.org/10.1016/j.chemosphere.2019.03.117

Data sources

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.