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Timing, hosts and locations of (grouped) events of NanoImpactNet

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NanoSafetyCluster - Compendium 2012<br />

WP4: Interactions with in vivo models. In vivo testing is being<br />

performed on at least eight different species to allow the<br />

construction <strong>of</strong> species sensitivity distributions for the selected<br />

nanoparticles. This also includes three st<strong>and</strong>ard toxicity species <strong>of</strong><br />

which the acute <strong>and</strong> chronic toxicity is well documented <strong>and</strong><br />

characterised for a variety <strong>of</strong> toxicants (e.g. Chlorella, Daphnia, <strong>and</strong><br />

Danio). The in vivo experiments address three main issues: namely<br />

bioavailability, accumulation <strong>and</strong> toxicity. A series <strong>of</strong> chronic<br />

experiments are being performed in which effects on growth <strong>and</strong><br />

reproduction are being determined. This work is led by Antwerp<br />

with an input from Anton Dohrn. Antwerp is one <strong>of</strong> the world<br />

leaders in molecular, cellular <strong>and</strong> whole-organism toxicology, <strong>and</strong><br />

both experimental <strong>and</strong> predictive modelling. In the last year<br />

studies have concentrated on looking at the chronic toxicity <strong>and</strong><br />

internalisation routes <strong>of</strong> nanoparticles. In a chronic exposure<br />

scenario over 21 days, the ZnO nanodispersion (Alpha Aesar<br />

NanoTek) is toxic to Daphnia magna at low concentrations (around<br />

0.02 mg Zn/L), whereby especially the reproduction was affected.<br />

As it has already been observed in studies carried out in WP3,<br />

toxicity <strong>of</strong> the ZnO nanodispersion cannot be solely due to the Zn<br />

or Zn 2+ toxicity (see Figure 8).<br />

Figure 8: Chronic toxicity <strong>of</strong> ZnO nanodispersion on the<br />

reproduction <strong>of</strong> Daphnia magna (mean ± SD) after 21 days <strong>of</strong><br />

exposure. Number <strong>of</strong> juveniles per adult Daphnia; one-way ANOVA<br />

with Dunnet’s post test, significant differences p < 0.001-0.01 (left)<br />

<strong>and</strong> sigmoidal dose-response curve on the inhibition <strong>of</strong><br />

reproduction (right).<br />

Results also showed the uptake <strong>and</strong> internalisation <strong>of</strong> the ZnO<br />

nanoparticles in Ciona intestinalis (see Figure 9). However, under<br />

the tested conditions, algae <strong>and</strong> daphnids did not take up the<br />

particles.<br />

Figure. 9: Feeding the animals with ZnO nanoparticles results in an<br />

accumulation <strong>of</strong> the particles in the stomach tissue. TEM analysis <strong>of</strong><br />

this organ indicates that nanoparticles, found at the plasma<br />

membrane <strong>of</strong> the cells facing the lumen, pass into the cytoplasm<br />

<strong>and</strong> through the junctions (A). Clusters <strong>of</strong> ZnO nanoparticles can be<br />

observed at the edge <strong>of</strong> zymogen granules (B), in the mitochondria<br />

<strong>and</strong> scattered in the cytoplasm (C). Scale bars 0.5 μm.<br />

WP5: Nanoparticle environmental impact. The biophysicochemical<br />

behaviour <strong>of</strong> nanoparticles, <strong>and</strong> their ensuing bioavailability <strong>and</strong><br />

toxicity characteristics, strongly depends on the nature <strong>and</strong> the<br />

extent <strong>of</strong> molecular interactions with organic <strong>and</strong> inorganic<br />

materials in the environment. Wageningen together with an input<br />

from Antwerp are responsible for analysing the influence <strong>of</strong><br />

chemical conditions <strong>and</strong> binding <strong>of</strong> particular species on the<br />

biointeraction <strong>and</strong> bioaccumulation <strong>of</strong> nanoparticles. Wageningen<br />

have extensive experience in the relationship between the<br />

chemical speciation <strong>of</strong> dissolved <strong>and</strong> particulate material in<br />

‘natural’ waters <strong>and</strong> its bioavailability. They are studying how the<br />

nanoparticles <strong>and</strong> the nanoparticle-water interface is modified<br />

when they enter a typical aqueous environmental system such as<br />

river, estuarine <strong>and</strong> sea water <strong>and</strong> how this affects their biological<br />

activity. Experiments are being carried out in laboratory controlled<br />

<strong>and</strong> relevant microcosms. The rate <strong>of</strong> the actual transfer <strong>of</strong> oxide<br />

nanoparticles across the cell membrane <strong>of</strong> a few selected aquatic<br />

organisms (microorganisms, invertebrates <strong>and</strong> fish); in relation to<br />

their local speciation <strong>and</strong> the physicochemical conditions at the<br />

outer side <strong>of</strong> the biointerface will also be investigated. The<br />

alteration <strong>of</strong> the nanoparticles during the in vivo experiments<br />

described in (WP4) is being investigated in this section <strong>and</strong> related<br />

to their effects. In the first half <strong>of</strong> the programme, studies have<br />

mainly concentrated on the surface chemistry <strong>of</strong> SiO 2 particles <strong>and</strong><br />

their interaction with the soluble heavy metal ion Pb 2+ .<br />

WP6: Integrated Modelling. No environmental toxicological study<br />

is complete unless the various parts are integrated together in a<br />

theoretical model. This is essential not only for planning the study<br />

but also for assessing the final transfer parameters. Such a process<br />

is continuously iterative throughout the investigation until towards<br />

the end <strong>of</strong> the study, when the parameters are completely<br />

optimised, <strong>and</strong> predictions as to the impact <strong>of</strong> the nanoparticles on<br />

the aquatic environment can be made. The model is being<br />

developed along the lines <strong>of</strong> previous environmental ecological<br />

models which predicted the transport <strong>and</strong> fate <strong>of</strong> soluble<br />

contaminants. A compartmental model is being used where the<br />

compartments are represented by the cell membrane, cell<br />

organelles, total cell, tissue <strong>and</strong> model aquatic organisms. The<br />

model based on ECoS3 (developed by Plymouth Marine<br />

Laboratory) allows the set-up <strong>and</strong> integration <strong>of</strong> sets <strong>of</strong> advection–<br />

diffusion equations representing multiple constituents interacting<br />

in a spatial context 3 . WP6 has developed working models <strong>of</strong> the<br />

solubility <strong>of</strong> oxide NPs <strong>and</strong> the validity <strong>of</strong> these models has been<br />

tested experimentally. The first step in the development <strong>of</strong> reliable<br />

structure-activity toxicological predictive relationships has been<br />

carried out <strong>and</strong> the modelling <strong>of</strong> the amount <strong>of</strong> NP that effectively<br />

reaches an organism <strong>and</strong> is, subsequently, internalized by it, prior<br />

to the toxic effect itself is taken care <strong>of</strong> using this model (see<br />

Figure 10). The main advantage <strong>of</strong> this model is that it provides a<br />

prediction <strong>of</strong> the amount <strong>of</strong> NP attached (or absorbed) <strong>and</strong><br />

internalized by a microorganism as a function <strong>of</strong> time, based on a<br />

simple physicochemical mechanism.<br />

3 Harris, J.R.W. & Gorley, R.N. 2005. ECoS, a framework for<br />

modelling hierarchical spatial systems. Sci. Tot. Env. 314 –316:625–<br />

635.<br />

8 Compendium <strong>of</strong> Projects in the European NanoSafety Cluster

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