title: Computational strategies for predicting the potential risks associated with nanotechnology.
abstract: For the move from nanoscience to nanotechnology to be sustainable, it is important that the issues surrounding possible 'nano-hazards' be addressed before commercialization. The global push for more environmentally friendly, biodegradable products, means the introduction of the nanoparticles contained within these products into the ecosystem is an inevitability. When this happens, it is desirable to know how the hazardous properties may be affected, and what the potential hazards are. In this article, a number of strategies will be discussed, combining the desirable aspects of theory, simulation, experiment and observation, and leading to predictions for incorporation into preventative frameworks. Particular attention will be given to the role of theory and computation, and how it intersects with the participants from complementary fields.
authors.affiliation: Commonwealth Scientific and Industrial Research Organisation Materials Science and Engineering & Future Manufacturing Flagship Clayton, Victoria, Australia. amanda.barnard@csiro.au
authors.forename: Amanda S
authors.initials: AS
authors.lastname: Barnard
mesh_terms: D019295:Computational Biology / Q000379:methods / Q000639:trends; D008962:Models, Theoretical; D049329:Nanostructures / Q000009:adverse effects / Q000633:toxicity; D036103:Nanotechnology; D012107:Research Design; D018570:Risk Assessment / Q000379:methods / Q000639:trends; D018675:Toxicity Tests / Q000379:methods / Q000639:trends