The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Quantum Dot Nanotoxicity Assessment Using the Zebrafish Embryo
Open accessAbstract
Quantum dots (QDs) hold promise for several biomedical, life sciences, and photovoltaic applications. Substantial production volumes and environmental release are anticipated. QD toxicity may be intrinsic to their physicochemical properties, or result from the release of toxic components during breakdown. We hypothesized that developing zebrafish could be used to identify and distinguish these different types of toxicity. Embryos were exposed to aqueous suspensions of CdSe(core)/ZnS(shell) QDs functionalized with either poly-L-lysine or poly(ethylene glycol) terminated with methoxy, carboxylate, or amine groups. Toxicity was influenced by the QD coating, which also contributed to the QD suspension stability. At sublethal concentrations, many QD preparations produced characteristic signs of Cd toxicity that weakly correlated with metallothionein expression, indicating that QDs are only slightly degraded in vivo. QDs also produced distinctly different toxicity that could not be explained by Cd release. Using the zebrafish model, we were able to distinguish toxicity intrinsic to QDs from that caused by released metal ions. We conclude that developing zebrafish provide a rapid, low-cost approach for assessing structure-toxicity relationships of nanoparticles.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ryman-Rasmussen, J. P., Riviere, J. E., & Monteiro-Riviere, N. A. (2007) · Journal of Investigative Dermatology · doi:10.1038/sj.jid.5700508 · Cited by 357
Cited by
George, S., Xia, T., Rallo, R., Zhao, Y., Ji, Z., Lin, S., Wang, X., Zhang, H., France, B., Schoenfeld, D., et al. (2011) · ACS Nano · doi:10.1021/nn102734s · Cited by 326
An ecotoxicological characterization of nanocrystalline cellulose (NCC)
Kovacs, T., Naish, V., O'Connor, B., Blaise, C., Gagné, F., Hall, L., Trudeau, V., & Martel, P. (2010) · Nanotoxicology · doi:10.3109/17435391003628713 · Cited by 269
Metadata
- Authors
- King-Heiden, T. C., Wiecinski, P. N., Mangham, A. N., Metz, K. M., Nesbit, D., Pedersen, J. A., Hamers, R. J., Heideman, W., & Peterson, R. E.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-01-14
- Volume
- 43
- Issue
- 5
- Pages
- 1605-1611
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2044971968
- Cited by
- 257
- References
- 1
- FWCI
- 17.00
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.