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Cited by 247

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Toxicity of Nanoparticles

Zoroddu, Maria, Medici, Serenella, Ledda, Alessia, Nurchi, Valeria, Lachowicz, Joanna, Peana, Massimiliano·2014·Current Medicinal Chemistry

Abstract

Nowadays more than thousands of different nanoparticles are known, though no well-defined guidelines to evaluate their potential toxicity and to control their exposure are fully provided. The way of entry of nanoparticles together with their specificities such as chemistry, chemical composition, size, shape or morphology, surface charge and area can influence their biological activities and effects. A specific property may give rise to either a safe particle or to a dangerous one. The small size allows nanoparticles to enter the body by crossing several barriers, to pass into the blood stream and lymphatic system from where they can reach organs and tissues and strictly interact with biological structures, thus damaging their normal functions in different ways. This review provides a summary of what is known on the toxicology related to the specificity of nanoparticles, both as technological tools or ambient pollutants. The aim is to highlight their potential hazard and to provide a balanced update on all the important questions and directions that should be focused in the near future.

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Metadata

Authors
Zoroddu, M., Medici, S., Ledda, A., Nurchi, V., Lachowicz, J., & Peana, M.
Venue
Current Medicinal Chemistry
Published
2014-06-01
Volume
21
Issue
33
Pages
3837-3853
ISSN
0929-8673 (ISSN-L)
OpenAlex
W2170784159
Cited by
247
References
4
FWCI
4.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Toxicity of Nanoparticles. https://app.cochat.ai/papers/10.2174/0929867321666140601162314
The paper
Zoroddu, M., Medici, S., Ledda, A., Nurchi, V., Lachowicz, J., & Peana, M. (2014). Toxicity of Nanoparticles. Current Medicinal Chemistry. https://doi.org/10.2174/0929867321666140601162314

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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.