The DOI matches its Crossref record.
Folic acid-conjugated carbon dots as green fluorescent probes based on cellular targeting imaging for recognizing cancer cells
Open accessAbstract
Green fluorescent CDs using the natural product dandelion as a carbon source were covalently conjugated with folate to differentiate cancer cells from normal cells.
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Citations
Cited by
Photonic Carbon Dots as an Emerging Nanoagent for Biomedical and Healthcare Applications
Chung, Y. J., Kim, J., & Park, C. B. (2020) · ACS Nano · doi:10.1021/acsnano.0c02114 · Cited by 299
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
Ghaffarlou, M., Mohammadi, A., Mousazadeh, N., Salehiabar, M., Kalantari, Y., Charmi, J., Barsbay, M., Ertas, Y. N., Danafar, H., Rezaeejam, H., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-40763-9 · Cited by 20
Metadata
- Authors
- Zhao, X., Zhang, J., Shi, L., Xian, M., Dong, C., & Shuang, S.
- Venue
- RSC Advances
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2017
- Volume
- 7
- Issue
- 67
- Pages
- 42159-42167
- ISSN
- 2046-2069 (ISSN-L)
- OpenAlex
- W2751852570
- Cited by
- 160
- References
- 0
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Folic acid-conjugated carbon dots as green fluorescent probes based on cellular targeting imaging for recognizing cancer cells. https://app.cochat.ai/papers/10.1039/c7ra07002k
- The paper
- Zhao, X., Zhang, J., Shi, L., Xian, M., Dong, C., & Shuang, S. (2017). Folic acid-conjugated carbon dots as green fluorescent probes based on cellular targeting imaging for recognizing cancer cells. RSC Advances. https://doi.org/10.1039/c7ra07002k
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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.
