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The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Biogreen Synthesis of Carbon Dots for Biotechnology and Nanomedicine Applications

Open access
Chan, Kok Ken, Yap, Stephanie Hui Kit, Yong, Ken-Tye·2018·Nano-Micro Letters

Abstract

Over the past decade, carbon dots have ignited a burst of interest in many different fields, including nanomedicine, solar energy, optoelectronics, energy storage, and sensing applications, owing to their excellent photoluminescence properties and the easiness to modify their optical properties through doping and functionalization. In this review, the synthesis, structural and optical properties, as well as photoluminescence mechanisms of carbon dots are first reviewed and summarized. Then, we describe a series of designs for carbon dot-based sensors and the different sensing mechanisms associated with them. Thereafter, we elaborate on recent research advances on carbon dot-based sensors for the selective and sensitive detection of a wide range of analytes, including heavy metals, cations, anions, biomolecules, biomarkers, nitroaromatic explosives, pollutants, vitamins, and drugs. Lastly, we provide a concluding perspective on the overall status, challenges, and future directions for the use of carbon dots in real-life sensing.

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Metadata

Authors
Chan, K. K., Yap, S. H. K., & Yong, K.-T.
Venue
Nano-Micro Letters
Published
2018-10
Volume
10
Issue
4
Pages
72-72
ISSN
  • 2150-5551 (ISSN-L)
  • 2311-6706
OpenAlex
W2895887134
Cited by
232
References
6
FWCI
7.50
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Biogreen Synthesis of Carbon Dots for Biotechnology and Nanomedicine Applications. https://app.cochat.ai/papers/10.1007/s40820-018-0223-3
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Chan, K. K., Yap, S. H. K., & Yong, K.-T. (2018). Biogreen Synthesis of Carbon Dots for Biotechnology and Nanomedicine Applications. Nano-Micro Letters. https://doi.org/10.1007/s40820-018-0223-3

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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.