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Cited by 758

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Facile synthesis of water-soluble, highly fluorescent graphene quantum dots as a robust biological label for stem cells

Zhang, Mo, Bai, Linling, Shang, Weihu, Xie, Wenjing, Ma, Hong, Fu, Yingyi, Fang, Decai, Sun, Hui, Fan, Louzhen, Han, Mei, Liu, Chenmin, Yang, Shihe·2012·Journal of Materials Chemistry

Abstract

We present a facile electrochemical method for synthesizing uniform sized graphene quantum dots (GQDs) with a strong yellow emission at 14% quantum yield. This approach has enabled a large-scale production of aqueous GQD solution without the need for polymeric or surfactant stabilizers. The structure and emission mechanism of the GQDs have been studied by combining extensive characterization techniques, rigorous control experiments and theoretical calculations. We further demonstrate the distinctive advantages of such GQDs for direct and efficient stem cell labeling, opening up great opportunities for their bio-medical applications.

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Crossref · 10.1039/c2jm16835a

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Metadata

Authors
Zhang, M., Bai, L., Shang, W., Xie, W., Ma, H., Fu, Y., Fang, D., Sun, H., Fan, L., Han, M., Liu, C., & Yang, S.
Venue
Journal of Materials Chemistry
Published
2012
Volume
22
Issue
15
Pages
7461
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2074802901
Cited by
758
References
46
FWCI
27.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Facile synthesis of water-soluble, highly fluorescent graphene quantum dots as a robust biological label for stem cells. https://app.cochat.ai/papers/10.1039/c2jm16835a
The paper
Zhang, M., Bai, L., Shang, W., Xie, W., Ma, H., Fu, Y., Fang, D., Sun, H., Fan, L., Han, M., Liu, C., & Yang, S. (2012). Facile synthesis of water-soluble, highly fluorescent graphene quantum dots as a robust biological label for stem cells. Journal of Materials Chemistry. https://doi.org/10.1039/c2jm16835a

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.