1,498
Views
287
CrossRef citations to date
0
Altmetric
Original

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

, , & , PhD
Pages 42-51 | Published online: 10 Jul 2009
 

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.

Support from National Science Foundation Grant No. EEC-9402989 and United States Air Force Contract No. F08830-03-1-0010 is gratefully acknowledged. SEM and TEM microscopy was provided by Ms Kerry Siebein and Dr Greg Erdos.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 547.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.