The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Green synthesis of carbon dots from prawn shells for highly selective and sensitive detection of copper ions
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Citations
Cites
Quantum dot bioconjugates for imaging, labelling and sensing
Medintz, I. L., Uyeda, H. T., Goldman, E. R., & Mattoussi, H. (2005) · Nature Materials · doi:10.1038/nmat1390 · Cited by 6,229
Electrophoretic Analysis and Purification of Fluorescent Single-Walled Carbon Nanotube Fragments
Xu, X., Ray, R., Gu, Y., Ploehn, H. J., Gearheart, L., Raker, K., & Scrivens, W. A. (2004) · Journal of the American Chemical Society · doi:10.1021/ja040082h · Cited by 5,323
Carbon quantum dots: synthesis, properties and applications
Wang, Y., & Hu, A. (2014) · Journal of Materials Chemistry C · doi:10.1039/c4tc00988f · Cited by 2,597
Copper toxicity, oxidative stress, and antioxidant nutrients
Gaetke, L. (2003) · Toxicology · doi:10.1016/s0300-483x(03)00159-8 · Cited by 2,160
Dong, Y., Shao, J., Chen, C., Li, H., Wang, R., Chi, Y., Lin, X., & Chen, G. (2012) · Carbon · doi:10.1016/j.carbon.2012.06.002 · Cited by 1,863
Aragay, G., Pons, J., & Merkoçi, A. (2011) · Chemical Reviews · doi:10.1021/cr100383r · Cited by 1,396
Essentiality of copper in humans
Uauy, R., Olivares, M., & Gonzalez, M. (1998) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/67.5.952s · Cited by 1,052
Designing multifunctional quantum dots for bioimaging, detection, and drug delivery
Zrazhevskiy, P., Sena, M., & Gao, X. (2010) · Chemical Society Reviews · doi:10.1039/b915139g · Cited by 997
Yang, Y., Cui, J., Zheng, M., Hu, C., Tan, S., Xiao, Y., Yang, Q., & Liu, Y. (2012) · Chem. Commun. · doi:10.1039/c1cc15678k · Cited by 995
Carbon dots—Emerging light emitters for bioimaging, cancer therapy and optoelectronics
Hola, K., Zhang, Y., Wang, Y., Giannelis, E. P., Zboril, R., & Rogach, A. L. (2014) · Nano Today · doi:10.1016/j.nantod.2014.09.004 · Cited by 992
Cited by
Review of Carbon and Graphene Quantum Dots for Sensing
Li, M., Chen, T., Gooding, J. J., & Liu, J. (2019) · ACS Sensors · doi:10.1021/acssensors.9b00514 · Cited by 991
Recent trends in the use of green sources for carbon dot synthesis–A short review
Kurian, M., & Paul, A. (2021) · Carbon Trends · doi:10.1016/j.cartre.2021.100032 · Cited by 303
Antero, R. V. P., Alves, A. C. F., de Oliveira, S. B., Ojala, S. A., & Brum, S. S. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119899 · Cited by 175
Metadata
- Authors
- Gedda, G., Lee, C.-Y., Lin, Y.-C., & Wu, H.-F.
- Venue
- Sensors and Actuators B: Chemical
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 224
- Pages
- 396-403
- ISSN
- 0925-4005 (ISSN-L)
- OpenAlex
- W1646174768
- Cited by
- 358
- References
- 41
- FWCI
- 7.19
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Green synthesis of carbon dots from prawn shells for highly selective and sensitive detection of copper ions. https://app.cochat.ai/papers/10.1016/j.snb.2015.09.065
- The paper
- Gedda, G., Lee, C.-Y., Lin, Y.-C., & Wu, H.-F. (2016). Green synthesis of carbon dots from prawn shells for highly selective and sensitive detection of copper ions. Sensors and Actuators B: Chemical. https://doi.org/10.1016/j.snb.2015.09.065
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.
