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Cited by 665

The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.

Biomass-Based Carbon Dots: Current Development and Future Perspectives

Open access
Wareing, Thomas C., Gentile, Piergiorgio, Phan, Anh N.·2021·ACS Nano

Abstract

Carbon dots have been considered as a solution to the challenges that semiconductor quantum dots have encountered because they are more biocompatible and can be synthesized from abundant and nontoxic materials such as biomass. This review will highlight the advantages of these biomass-based carbon dots in terms of synthesis, properties, and applications in the biomedical field. Furthermore, future applications especially in the biomedical field of biomass-based carbon dots as well as the challenges of semiconductor quantum dots such as biocompatibility, photobleaching, environmental challenges, toxicity, and poor solubility will be discussed in detail. Biomass-derived quantum dots, a subsection of carbon dots that are the most desirable for future research, will be focused upon including from synthesis to applications. Finally, the future development of biomass derived quantum dots in the biomedical field will be discussed and evaluated to unlock the potential for their applications.

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Crossref · 10.1021/acsnano.1c03886

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Metadata

Authors
Wareing, T. C., Gentile, P., & Phan, A. N.
Venue
ACS Nano
Published
2021-09-24
Volume
15
Issue
10
Pages
15471-15501
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W3199075890
Cited by
665
References
128
FWCI
28.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biomass-Based Carbon Dots: Current Development and Future Perspectives. https://app.cochat.ai/papers/10.1021/acsnano.1c03886
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Wareing, T. C., Gentile, P., & Phan, A. N. (2021). Biomass-Based Carbon Dots: Current Development and Future Perspectives. ACS Nano. https://doi.org/10.1021/acsnano.1c03886

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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.