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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Characterization of the size, shape, and state of dispersion of nanoparticles for toxicological studies

Powers, Kevin W., Palazuelos, Maria, Moudgil, Brij M., Roberts, Stephen M.·2007·Nanotoxicology

Abstract

This paper describes the issues relating to the measurement of nanoparticle size, shape and dispersion when evaluating the toxicity of nanoparticles. Complete characterization of these materials includes much more than size, size distribution and shape; nonetheless, these attributes are usually the essential foundation. The measurement of particle size, particularly at scales of 100 nm or less, can be challenging under the best of conditions. Measurements that are routine in the laboratory setting become even more difficult when made under the physiological conditions relevant to toxicity studies, where the environment of the particles can be quite complex. Passive and active cellular responses, as well as the presence of a variety of nano-scale biological structures, often complicate the collection and interpretation of size and shape data. In this paper, we highlight several of the common issues faced when characterizing nanoparticles for toxicity testing and suggest general protocols to address these problems.

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Metadata

Authors
Powers, K. W., Palazuelos, M., Moudgil, B. M., & Roberts, S. M.
Venue
Nanotoxicology
Published
2007-01
Volume
1
Issue
1
Pages
42-51
ISSN
  • 1743-5390 (ISSN-L)
  • 1743-5404
OpenAlex
W2004010748
Cited by
383
References
2
FWCI
10.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Characterization of the size, shape, and state of dispersion of nanoparticles for toxicological studies. https://app.cochat.ai/papers/10.1080/17435390701314902
The paper
Powers, K. W., Palazuelos, M., Moudgil, B. M., & Roberts, S. M. (2007). Characterization of the size, shape, and state of dispersion of nanoparticles for toxicological studies. Nanotoxicology. https://doi.org/10.1080/17435390701314902

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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.