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

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sludge. Information on rates <strong>of</strong> sludge application to soils<br />

across Europe will be used to estimate concentrations<br />

reached via this route. For that which partitions into<br />

effluent, realistic water levels will be modelled using the<br />

GIS water quality model LF2000-WQX Wales (Williams et al.,<br />

2009). Predicted environmental concentrations (PECs) will<br />

be generated for a representative set <strong>of</strong> river catchments in<br />

the Thames, Midl<strong>and</strong> <strong>and</strong> Anglia regions <strong>of</strong> the UK, which<br />

are known to have the least dilution <strong>of</strong> sewage effluent<br />

across the UK. These catchment scenarios will be compared<br />

with catchments across Europe in the GREAT-ER model.<br />

The model will be driven by consumption <strong>and</strong> discharge<br />

values together with wastewater fate. With its underlying<br />

database <strong>of</strong> wastewater treatment plants (location, size<br />

<strong>and</strong> flow) together with river hydrological data (all<br />

discharges, abstractions <strong>and</strong> natural flow), the LF2000-<br />

WQX model provides unparalleled ability to predict<br />

concentrations that may reach real environments (NERC,<br />

F+B).<br />

The predicted environmental concentrations in different<br />

compartments derived from the modelling work for our<br />

selected ENPs under different usage scenarios will used in the<br />

project both to inform the design <strong>of</strong> toxicity studies in WP 3, WP<br />

4 <strong>and</strong> WP 5 <strong>and</strong> as input into spatially explicit risk assessment<br />

models in WP 6.<br />

Obj.3: Analyse ENP interactions with environmental <strong>and</strong><br />

biological entities using advanced microscope <strong>and</strong> physical<br />

analysis.<br />

Baseline. NanoSafe II (FP6 - which involved NanoFATE partners)<br />

has defined the current state-<strong>of</strong>-the-art for characterising <strong>and</strong><br />

measuring ENP interactions with each other <strong>and</strong> with different<br />

biological model environments. The project used industrially<br />

supplied ENPs in model systems (e.g. cells) to determine their<br />

toxicities <strong>and</strong> demonstrated that underst<strong>and</strong>ing the shape <strong>and</strong><br />

composition <strong>of</strong> ENPs <strong>and</strong> how they behave in different media is<br />

critical to underst<strong>and</strong>ing their potential toxicity (NanoSAFEII,<br />

2008). Currently a major barrier to extending this work to more<br />

complex environments is the ability to differentiate ENPs from<br />

naturally occurring NPs or clusters.<br />

NanoFATE progression beyond the “state-<strong>of</strong>-the-art”. The<br />

NanoFATE consortium will address ENP interactions with<br />

environmental <strong>and</strong> biological systems by specifically mobilising<br />

the expertise <strong>of</strong> researchers with extensive experience <strong>of</strong><br />

preparing real environmental <strong>and</strong> biotic samples for analysis <strong>of</strong><br />

the interactions <strong>of</strong> ENPs with, for example, natural colloids <strong>and</strong><br />

bacterial cells in wastewater <strong>and</strong> soil pore water. A range <strong>of</strong> the<br />

advanced techniques suitable for detection <strong>of</strong> the commercially<br />

available <strong>and</strong> bespoke manufactured <strong>and</strong> doped ENPs will be<br />

used for the specific studies in NanoFATE. These will allow<br />

NanoFATE researchers to track the interaction <strong>of</strong> particle with<br />

colloidal <strong>and</strong> particulate matter, since these interactions are<br />

important determinants <strong>of</strong> particle bioavailability. Methods that<br />

also allow determination <strong>of</strong> the uptake <strong>and</strong> localisation <strong>of</strong> ENPs<br />

within prokaryotic <strong>and</strong> eukaryotic organisms will also be utilised.<br />

The major techniques that will be used in the studies in<br />

NanoFATE are as follows:<br />

NanoSafetyCluster - Compendium 2012<br />

1. Raman microscopy for the detection <strong>of</strong> ENP behaviour both<br />

in waste water systems <strong>and</strong> in biological entities including<br />

the internalisation <strong>of</strong> particles in prokaryotic <strong>and</strong> eukaryotic<br />

organisms (Huang et al., 2004;Singer et al., 2005) (UOXF.DJ,<br />

NERC);<br />

2. Light, X-ray <strong>and</strong> neutron scattering spectroscopy for<br />

detection <strong>of</strong> ENP-ENP <strong>and</strong> ENP-colloidal interactions in<br />

waters <strong>and</strong> assessing the role played by colloids in<br />

facilitating particle aggregation in waste <strong>and</strong> surface<br />

waters (Jarvie <strong>and</strong> King, 2007) (NERC);<br />

3. Electron microscopy techniques such as scanning Electron<br />

Microscopy (coupled with Energy-Dispersive X-ray analysis<br />

(ESEM-EDX) <strong>and</strong> Transmission Electron Microscopy (TEM-<br />

EDX) <strong>and</strong> Energy Dispersive X-ray analysis for visualisation<br />

<strong>of</strong> ENP interactions with environmental media, aquatic<br />

colloids <strong>and</strong> biological entities in support <strong>of</strong> assessment <strong>of</strong><br />

ENP bioavailability in soil <strong>and</strong> water systems <strong>and</strong> the<br />

detection <strong>and</strong> localisation <strong>of</strong> internalised ENP in organisms<br />

(CU, UOXF.DJ)<br />

4. Matrix Assisted Laser Desorption/Ionization (MALDI)-<br />

Imaging mass spectrometry for detection <strong>of</strong> surface<br />

interactions <strong>of</strong> ENP with particulate matter <strong>and</strong> possibly<br />

also imagine <strong>of</strong> tissues for metal ENPs inclusions (UOXF.DJ,<br />

UNIPMN).<br />

5. Flow Field-Flow Fractionation with high resolution ICP-MS<br />

(FLFFF-HR-ICP-MS) including use <strong>of</strong> a new detection mode.<br />

This detection method, called single particle ICPMS, built on<br />

an ultra fast (

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