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Journal of Composites and Compounds
Article . 2019 . Peer-reviewed
Data sources: Crossref
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Article . 2019
License: CC BY
Data sources: ZENODO
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A Review of Clinical Applications of Graphene Quantum Dot-based Composites

Authors: Ebadollah Asadi; Arash Fassadi Chimeh; Amir Hossein Vakili Tahmorsati; Sahar Hosseini; Seyedhamidreza Rahimi; Bijan Sarkhosh; Leila Bazli; +1 Authors

A Review of Clinical Applications of Graphene Quantum Dot-based Composites

Abstract

This review represent an overview of the graphene quantum dots synthesis and their application as carriers or probes for sensor, imaging, drug delivery and diagnosing of diseases. More specifically, recent advances in the integration of QDs with drug formulations for therapy and their potential toxicity in vitro and in vivo are highlighted. The current findings and challenges for optimizing QD/drug formulations with respect to optimal size and stability, short-term and long-term toxicity, and in vivo applications are described.

Related Organizations
Keywords

Quantum dots, Graphene, Drug Delivery, Theranostics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
13
Top 10%
Average
Top 10%
6
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