Improving the prediction of environmental fate of engineered nanomaterials by fractal modelling

被引：8

作者：

Avilov, S. ^{[1
]}

Lamon, L. ^{[2
]}

Hristozov, D. ^{[2
]}

Marcomini, A. ^{[2
]}

机构：

[1] Voronezh State Univ, Dept Solid State Phys & Nanostruct, Univ Skaya Pl 1, Voronezh 394006, Russia

[2] Univ Ca Foscari Venice, Dept Environm Sci Informat & Stat, I-30172 Venice, VE, Italy

来源：

ENVIRONMENT INTERNATIONAL | 2017年 / 99卷

关键词：

ENMs environmental fate; Kinetic models; IFS fractals; Fractal modelling; Hierarchal symmetry; ENM structural classification; SILVER NANOPARTICLES; EXPOSURE ASSESSMENT; TIO2; NANOPARTICLES; SIZE DISTRIBUTION; AGGREGATION; SHAPE; DIMENSION; MORPHOLOGY; TRANSPORT; WATER;

D O I：

10.1016/j.envint.2016.11.027

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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. (C) 2016 Published by Elsevier Ltd.

引用

页码：78 / 86

页数：9

共 133 条

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