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Themed collection Modelling in Environmental Nanotechnology

6 items
Perspective

Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements

Validation of modeled environmental concentrations of nanomaterials is currently not possible.

Graphical abstract: Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements
From the themed collection: Modelling in Environmental Nanotechnology
Critical Review

Modeling nanomaterial fate and uptake in the environment: current knowledge and future trends

A schematic summary of the most important transformation processes a NM may undergo during environmental transport, and the parameters of highest importance for inclusion in models of NM environmental fate and uptake.

Graphical abstract: Modeling nanomaterial fate and uptake in the environment: current knowledge and future trends
From the themed collection: Modelling in Environmental Nanotechnology
Paper

Computational design of safer nanomaterials

Nanomaterials are expected to find applications in numerous consumer products, posing the challenge to guarantee their safety and environmental sustainability before they can be transferred from research labs to end-consumer products.

Graphical abstract: Computational design of safer nanomaterials
From the themed collection: Modelling in Environmental Nanotechnology
Open Access Paper

Modelling the interaction processes between nanoparticles and biomacromolecules of variable hydrophobicity: Monte Carlo simulations

The conformational properties and formation of a complex between a weak flexible biomacromolecule chain of variable hydrophobicity and one negatively charged nanoparticle in the presence of explicit counterions are investigated here using Monte Carlo simulations.

Graphical abstract: Modelling the interaction processes between nanoparticles and biomacromolecules of variable hydrophobicity: Monte Carlo simulations
From the themed collection: Modelling in Environmental Nanotechnology
Open Access Paper

Prediction of nanoparticle transport behavior from physicochemical properties: machine learning provides insights to guide the next generation of transport models

Machine-learning methods are used to identify factors that govern transport of nanoparticles in column experiments.

Graphical abstract: Prediction of nanoparticle transport behavior from physicochemical properties: machine learning provides insights to guide the next generation of transport models
From the themed collection: Modelling in Environmental Nanotechnology
Paper

Probabilistic modelling of engineered nanomaterial emissions to the environment: a spatio-temporal approach

For the environmental risk assessment of engineered nanomaterials (ENM) knowledge about environmental concentrations is crucial.

Graphical abstract: Probabilistic modelling of engineered nanomaterial emissions to the environment: a spatio-temporal approach
From the themed collection: Modelling in Environmental Nanotechnology
6 items

About this collection

Guest Edited by Mohammed Baalousha, Panos Georgopoulos, Jamie Lead and Dave Spurgeon, this themed collection on modelling in environmental nanotechnology features papers presenting state-of-the-art models for the fate, behaviour, exposure, uptake and toxicity of nanomaterials in the environment and in organisms. Research on a wide range of model types for environmental and biological processes affecting nanomaterial behaviour is also included.

Spotlight

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