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Improving the prediction of environmental fate of engineered nanomaterials by fractal modelling.
Avilov, S; Lamon, L; Hristozov, D; Marcomini, A.
Affiliation
  • Avilov S; Department of Solid State Physics and Nanostructures, Voronezh State University, Universitetskaya pl., 1, 394006 Voronezh, Russia.
  • Lamon L; Department of Environmental Sciences, Informatics & Statistics, University Ca' Foscari of Venice, 30172 Mestre (VE), Italy.
  • Hristozov D; Department of Environmental Sciences, Informatics & Statistics, University Ca' Foscari of Venice, 30172 Mestre (VE), Italy.
  • Marcomini A; Department of Environmental Sciences, Informatics & Statistics, University Ca' Foscari of Venice, 30172 Mestre (VE), Italy. Electronic address: marcom@unive.it.
Environ Int ; 99: 78-86, 2017 Feb.
Article in En | MEDLINE | ID: mdl-27989526
ABSTRACT
A critical analysis of the available engineered nanomaterials (ENMs) environmental fate modelling approaches indicates that existing tools do not satisfactorily account for the complexities of nanoscale phenomena. Fractal modelling (FM) can complement existing kinetic fate models by including more accurate interpretations of shape and structure, density and collision efficiency parameters to better describe homo- and heteroaggregation. Pathways to including hierarchical symmetry concepts and a route to establishing a structural classification of nanomaterials based on FM are proposed.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nanostructures / Environment Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Environ Int Year: 2017 Document type: Article Affiliation country: RUSSIA
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nanostructures / Environment Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Environ Int Year: 2017 Document type: Article Affiliation country: RUSSIA