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Journal article

Categorization framework to aid hazard identification of nanomaterials

From

Environmental Chemistry, Department of Environmental Engineering, Technical University of Denmark1

Department of Environmental Engineering, Technical University of Denmark2

Computational Atomic-scale Materials Design, Department of Physics, Technical University of Denmark3

Department of Physics, Technical University of Denmark4

Innovation and Sustainability, Department of Management Engineering, Technical University of Denmark5

Department of Management Engineering, Technical University of Denmark6

The physical, chemical and biological properties of various nanomaterials differ substantially - as do the potential risks they pose. We argue that nanomaterials must be categorized based on the location of the nanoscale structure in the system/material before their hazards can be assessed and propose a categorization framework that enables scientists and regulators to identify the categories of nanomaterials systematically.

The framework is applied to a suggested hazard identification approach aimed at identifying causality between inherent physical and chemical properties and observed adverse effects reported in the literature. We tested the workability of the proposed procedure using nanoparticles as an illustrative case study.

A database was generated noting the reported inherent physical and chemical properties of the nanoparticles tested and the main effects observed. 428 studies were noted in the database reporting on a total of 965 nanoparticles. We found that although a limited number of studies have been reported on ecotoxicity, more than 120 and 270 have been reported on mammalian toxicity and cytotoxicity, respectively.

In general there was a lack of characterization of the nanoparticles studied and it was not possible to link specific properties of nanoparticles to the observed effects. Our study shows that future research strategies must have a strong focus on characterization of the nanoparticles tested.

Language: English
Year: 2007
Pages: 243-250
ISSN: 17435404 and 17435390
Types: Journal article
DOI: 10.1080/17435390701727509
ORCIDs: Hansen, Steffen Foss , Olsen, Stig Irving and Baun, Anders

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