Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 264

The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.

Graphene Quantum Dots (GQDs) for Bioimaging and Drug Delivery Applications: A Review

Biswas, Manik Chandra, Islam, Md Tariqul, Nandy, Pranab Kumar, Hossain, Md Milon·2021·ACS Materials Letters

Abstract

Quantum dots (QDs) exhibit unique physicochemical and optical properties that are suitable for photovoltaic cells, light-emitting diodes, and optoelectronic devices; however, unlike selenium and tellurium/metal-sulfide-based QDs, graphene quantum dots (GQDs) are comparatively less toxic and biocompatible, making them promising candidates for biological applications such as bioimaging, drug delivery agents, therapeutics, and theranostics. Various synthesis techniques such as top-down and bottom-up methods along with novel green synthesis methods for the preparation of pure and doped GQDs are thoroughly discussed in this study. Physicochemical, optical, and biological properties such as size- and chemical-composition-dependent fluorescence, therapeutics, disease diagnostics, biocompatibility, and cellular toxicity are extensively studied and summarized. Finally, the prospects and potential directions of GQDs in drug delivery and bioimaging systems are discussed in regards to challenges such as the synthesis, biocompatibility, and cellular toxicity.

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 · 10.1021/acsmaterialslett.0c00550

Cites

115 of 115 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 115 references

Cited by

See all 264

Metadata

Authors
Biswas, M. C., Islam, M. T., Nandy, P. K., & Hossain, M. M.
Venue
ACS Materials Letters
Published
2021-05-26
Volume
3
Issue
6
Pages
889-911
ISSN
2639-4979 (ISSN-L)
OpenAlex
W3165699591
Cited by
264
References
115
FWCI
12.08
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 Quantum Dots (GQDs) for Bioimaging and Drug Delivery Applications: A Review. https://app.cochat.ai/papers/10.1021/acsmaterialslett.0c00550
The paper
Biswas, M. C., Islam, M. T., Nandy, P. K., & Hossain, M. M. (2021). Graphene Quantum Dots (GQDs) for Bioimaging and Drug Delivery Applications: A Review. ACS Materials Letters. https://doi.org/10.1021/acsmaterialslett.0c00550

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.