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FP7 ERA-NET on
Nanosafety
Safe
Implementation of Innovative
Nanoscience
and Nanotechnology
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Modelling
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Lead: TU Graz
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The principal objective of WP M is the development of a model for
aerosol transport allowing the fate of airborne nanoparticles to be
predicted. The particles may be released from liquid formulations by
drying. The model should become a candidate for a standard in MNM risk
assessment in real-life applications. A second objective is to model
the deposition of the nanoparticles on human tissue, such as skin and
lung mucosa.
WP M cooperates with the experimental WPs PC and E and, on the basis of
their input, produces computational data that can, in turn, be verified
experimentally. Modelling the aerosol should allow inference on the
state of the MNM during spraying and after deposition. Important
factors are the rate of evaporation of liquids and the agglomeration of
nanoparticles. High concentrations of nanoparticles in the spray
liquid, and locally in individual droplets, can favour the formation of
agglomerates. Agglomeration influences the physical state of the MNM,
the physicochemical properties, and hence their fate and effects in the
environment. The data generated should reveal similarities and
differences between different spray scenarios which can be validated
experimentally using exemplary data points.
For the second objective of the WP, the deposition of MNM and their
uptake into lung tissue will be modelled as an example for an
environmental fate of high concern. The MPPD model allows for the
computation of such particle fate in mice and human airways. Human
airways have certain exclusion sizes regarding particles and droplets,
depending on their size. According to the model, particles in the range
of 5 nm – 250 nm have a high probability to move into the alveoli, the
most distal compartment of the lung. In this region, only the
surfactant and few cells separate the gaseous phase from the blood,
allowing for particles to cross the blood-air barrier.
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This project is part
of the SIINN ERA-NET and is funded under the ERA-NET scheme
of the Seventh Framework Programme of the European Commission,
Research
Directorate - General, Grant Agreement No. 265799
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