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Cited by 428

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Ecotoxicity of nanoparticles of CuO and ZnO in natural water

Open access
Blinova, I., Ivask, A., Heinlaan, M., Mortimer, M., Kahru, A.·2010·Environmental Pollution

Abstract

The acute toxicity of CuO and ZnO nanoparticles in artificial freshwater (AFW) and in natural waters to crustaceans Daphnia magna and Thamnocephalus platyurus and protozoan Tetrahymena thermophila was compared. The L(E)C(50) values of nanoCuO for both crustaceans in natural water ranged from 90 to 224 mg Cu/l and were about 10-fold lower than L(E)C(50) values of bulk CuO. In all test media, the L(E)C(50) values for both bulk and nanoZnO (1.1-16 mg Zn/l) were considerably lower than those of nanoCuO. The natural waters remarkably (up to 140-fold) decreased the toxicity of nanoCuO (but not that of nanoZnO) to crustaceans depending mainly on the concentration of dissolved organic carbon (DOC). The toxicity of both nanoCuO and nanoZnO was mostly due to the solubilised ions as determined by specific metal-sensing bacteria.

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Crossref · 10.1016/j.envpol.2009.08.017

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Metadata

Authors
Blinova, I., Ivask, A., Heinlaan, M., Mortimer, M., & Kahru, A.
Venue
Environmental Pollution
Publisher
Elsevier BV
Published
2010-01
Volume
158
Issue
1
Pages
41-47
ISSN
0269-7491 (ISSN-L)
OpenAlex
W2036923349
Cited by
428
References
28
FWCI
13.87
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Ecotoxicity of nanoparticles of CuO and ZnO in natural water. https://app.cochat.ai/papers/10.1016/j.envpol.2009.08.017
The paper
Blinova, I., Ivask, A., Heinlaan, M., Mortimer, M., & Kahru, A. (2010). Ecotoxicity of nanoparticles of CuO and ZnO in natural water. Environmental Pollution. https://doi.org/10.1016/j.envpol.2009.08.017

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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.