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Cited by 676

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Toxicology and clinical potential of nanoparticles

Open access
Yildirimer, Lara, Thanh, Nguyen T.K., Loizidou, Marilena, Seifalian, Alexander M.·2011·Nano Today

Abstract

In recent years, nanoparticles (NPs) have increasingly found practical applications in technology, research and medicine. The small particle size coupled to their unique chemical and physical properties is thought to underlie their exploitable biomedical activities. Here, we review current toxicity studies of NPs with clinical potential. Mechanisms of cytotoxicity are discussed and the problem of extrapolating knowledge gained from cell-based studies into a human scenario is highlighted. The so-called 'proof-of-principle' approach, whereby ultra-high NP concentrations are used to ensure cytotoxicity, is evaluated on the basis of two considerations; firstly, from a scientific perspective, the concentrations used are in no way related to the actual doses required which, in many instances, discourages further vital investigations. Secondly, these inaccurate results cast doubt on the science of nanomedicine and thus, quite dangerously, encourage unnecessary alarm in the public. In this context, the discrepancies between in vitro and in vivo results are described along with the need for a unifying protocol for reliable and realistic toxicity reports.

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Metadata

Authors
Yildirimer, L., Thanh, N. T. K., Loizidou, M., & Seifalian, A. M.
Venue
Nano Today
Publisher
Elsevier BV
Published
2011-12
Volume
6
Issue
6
Pages
585-607
ISSN
1748-0132 (ISSN-L)
OpenAlex
W2117981139
Cited by
676
References
6
FWCI
10.53
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Toxicology and clinical potential of nanoparticles. https://app.cochat.ai/papers/10.1016/j.nantod.2011.10.001
The paper
Yildirimer, L., Thanh, N. T. K., Loizidou, M., & Seifalian, A. M. (2011). Toxicology and clinical potential of nanoparticles. Nano Today. https://doi.org/10.1016/j.nantod.2011.10.001

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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.