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Glutathione-functionalized graphene quantum dots as selective fluorescent probes for phosphate-containing metabolites
Abstract
Bright blue fluorescent glutathione-functionalized graphene quantum dots (GQDs@GSH) were prepared by a one-step pyrolysis method with a fluorescence quantum yield as high as 33.6%. Futhermore, the obtained GQDs@GSH can be used as a probe to estimate the ATP level in cell lysates and human blood serum.
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Citations
Cited by
Zhu, S., Song, Y., Zhao, X., Shao, J., Zhang, J., & Yang, B. (2015) · Nano Research · doi:10.1007/s12274-014-0644-3 · Cited by 2,781
Glowing Graphene Quantum Dots and Carbon Dots: Properties, Syntheses, and Biological Applications
Zheng, X. T., Ananthanarayanan, A., Luo, K. Q., & Chen, P. (2015) · Small · doi:10.1002/smll.201402648 · Cited by 2,190
Nanomaterials for In Vivo Imaging
Smith, B. R., & Gambhir, S. S. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00073 · Cited by 1,075
Mitochondria Targeted Nanoscale Zeolitic Imidazole Framework-90 for ATP Imaging in Live Cells
Deng, J., Wang, K., Wang, M., Yu, P., & Mao, L. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b01229 · Cited by 398
Metadata
- Authors
- Liu, J.-J., Zhang, X.-L., Cong, Z.-X., Chen, Z.-T., Yang, H.-H., & Chen, G.-N.
- Venue
- Nanoscale
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 5
- Issue
- 5
- Pages
- 1810
- ISSN
- 2040-3364 (ISSN-L)
- 2040-3372
- OpenAlex
- W1986105244
- Cited by
- 189
- References
- 0
- FWCI
- 10.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Glutathione-functionalized graphene quantum dots as selective fluorescent probes for phosphate-containing metabolites. https://app.cochat.ai/papers/10.1039/c3nr33794d
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- Liu, J.-J., Zhang, X.-L., Cong, Z.-X., Chen, Z.-T., Yang, H.-H., & Chen, G.-N. (2013). Glutathione-functionalized graphene quantum dots as selective fluorescent probes for phosphate-containing metabolites. Nanoscale. https://doi.org/10.1039/c3nr33794d
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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.
