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Carbon dots-based fluorescent probes for sensitive and selective detection of iodide
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Carbon quantum dots and their applications
Lim, S. Y., Shen, W., & Gao, Z. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00269e · Cited by 4,976
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
An overview of nanoparticles commonly used in fluorescent bioimaging
Wolfbeis, O. S. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00392f · Cited by 1,631
Formation mechanism and optimization of highly luminescent N-doped graphene quantum dots
Qu, D., Zheng, M., Zhang, L., Zhao, H., Xie, Z., Jing, X., Haddad, R. E., Fan, H., & Sun, Z. (2014) · Scientific Reports · doi:10.1038/srep05294 · Cited by 959
Carbon quantum dots from natural resource: A review
Das, R., Bandyopadhyay, R., & Pramanik, P. (2018) · Materials Today Chemistry · doi:10.1016/j.mtchem.2018.03.003 · Cited by 804
Metadata
- Authors
- Du, F., Zeng, F., Ming, Y., & Wu, S.
- Venue
- Microchimica Acta
- Published
- 2013-02-05
- Volume
- 180
- Issue
- 5-6
- Pages
- 453-460
- ISSN
- 0026-3672 (ISSN-L)
- 1436-5073
- OpenAlex
- W2093379510
- Cited by
- 181
- References
- 0
- FWCI
- 9.47
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Carbon dots-based fluorescent probes for sensitive and selective detection of iodide. https://app.cochat.ai/papers/10.1007/s00604-013-0954-2
- The paper
- Du, F., Zeng, F., Ming, Y., & Wu, S. (2013). Carbon dots-based fluorescent probes for sensitive and selective detection of iodide. Microchimica Acta. https://doi.org/10.1007/s00604-013-0954-2
Data sources
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.
