The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Carbon quantum dot-based nanoprobes for metal ion detection
Abstract
This review highlights the synthesis and optical properties of carbon quantum dots and their application in metal ion sensing.
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Citations
Cites
One-step synthesis of fluorescent carbon nanoparticles by laser irradiation
Hu, S.-L., Niu, K.-Y., Sun, J., Yang, J., Zhao, N.-Q., & Du, X.-W. (2009) · J. Mater. Chem. · doi:10.1039/b812943f · Cited by 968
Cited by
Li, L., & Dong, T. (2018) · Journal of Materials Chemistry C · doi:10.1039/c7tc05878k · Cited by 452
Atchudan, R., Edison, T. N. J. I., Chakradhar, D., Perumal, S., Shim, J.-J., & Lee, Y. R. (2017) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2017.02.119 · Cited by 426
Metal ions doped carbon quantum dots: Synthesis, physicochemical properties, and their applications
Lin, L., Luo, Y., Tsai, P., Wang, J., & Chen, X. (2018) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2018.03.015 · Cited by 322
Cancer Targeting and Drug Delivery Using Carbon-Based Quantum Dots and Nanotubes
Pardo, J., Peng, Z., & Leblanc, R. (2018) · Molecules · doi:10.3390/molecules23020378 · Cited by 226
Metadata
- Authors
- Gao, X., Du, C., Zhuang, Z., & Chen, W.
- Venue
- Journal of Materials Chemistry C
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2016
- Volume
- 4
- Issue
- 29
- Pages
- 6927-6945
- ISSN
- 2050-7526 (ISSN-L)
- 2050-7534
- OpenAlex
- W2414070929
- Cited by
- 505
- References
- 1
- FWCI
- 24.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Carbon quantum dot-based nanoprobes for metal ion detection. https://app.cochat.ai/papers/10.1039/c6tc02055k
- The paper
- Gao, X., Du, C., Zhuang, Z., & Chen, W. (2016). Carbon quantum dot-based nanoprobes for metal ion detection. Journal of Materials Chemistry C. https://doi.org/10.1039/c6tc02055k
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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.