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

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NanoSafetyCluster - Compendium 2012 properties of nanomaterials (NMs) and their potentially unpredictable behaviour, and thus models need to acquire a level of sophistication to accommodate that. Both statistical and mechanistic models are needed. Statistical models are necessary when mechanistic understanding is lacking and to capture uncertainties in relationships between nanoparticle properties and their behaviour. However, mechanistic models are more appropriate for extrapolating beyond existing data sets and exploring different scenarios. 3 What is ModNanoTox ModNanoTox is a small project, designed to develop a number of well-documented integrated and technically advanced models describing the behaviour of engineered nanoparticles in an environmental or biological context to comprehensively address the following key hypotheses: 1. Toxicity of nanoparticles is the result of physicochemical properties and this has been documented reliably in completed/ongoing studies. Properties found to be relevant include size, surface area, structure and composition (WP1, 2) 2. Nanoparticle reactivity can be modelled computationally and can be linked to toxicity (WP1). 3. Toxic responses from cell culture studies and whole organisms can be correlated and rationalised and can be translated into tools useful for model development (WP2). 4. Bioaccumulation into cells or whole organisms can be characterized and modelled using biodynamic principles (i.e. by characterizing uptake rate constants from food and water as well as loss rate constants) (WP3). 5. Toxic responses from cell culture studies and whole organisms can be modelled reliably by QSAR type approaches (WP4). 6. Exposure concentrations can be assessed reliably and incorporated in appropriate models (WP5). 7. Mechanistic effect models can be developed by extrapolation from ecological and (eco)toxicological observations and can be built into risk assessment models (WP6). 4 Organisation of ModNanoTox ModNanoTox consists of six RTD and one management workpackage. The workpackages and their interdependence are shown schematically in Figure 1. The specific objectives of each workpackage are as follows: WP1: Physicochemical properties assessment 1) To identify and select suitable physicochemical properties (size, shape, phase, concentration, composition, surface modification, method of synthesis) so that groups of structurally similar particles can be identified for toxicity models. 2) To carry out atomistic simulations of surface reactivity of a reference set of particles (Ag NPs) to support this selection. 3) To develop mechanistic understanding of nanoparticle reactivity based on molecular models. Public outreach Scientific Legislators, industry publications Figure 1. Workpackage structure of ModNanoTox. WP2: Data evaluation 1) To characterise and classify existing toxicity data (data mining), including evaluation of datasets from completed and on-going projects, in order to prioritise data for modelling in other workpackages. 2) To evaluate differences in parameters due to contributing factors such as synthesis, storage, and through to testing. 3) To recognise data quality limitations. 4) To evaluate characterisation and classification techniques. WP3: Bioaccumulation models 1) To model toxicity at the individual organism level using bioaccumulation based toxicokinetic- toxicodynamic models. 2) To generate models, based on individual organisms, capable of incorporating experimental nanoparticle uptake and toxicity data and identify links to the mechanism of toxic action. WP4: QSAR models ModNanoTox: graphical presentation of work packages Physicochemical property assessment WP1 Bioaccummulation models WP3 1) To model toxicity at individual organism level using QSAR models, based on data mining and machine learning algorithms. 2) To adapt existing models and generate new models capable of linking toxicity to nanoparticle properties. WP5: Exposure concentration models QSAR models WP4 Exposure concentration models WP5 Data evaluation WP2 1) To evaluate models to estimate environmental exposure, including the REACH procedures. 2) To parameterize existing models for nanoparticles by extracting data from the literature and by collecting results from ongoing FP7 projects. 76 Compendium of Projects in the European NanoSafety Cluster Consortium Management WP7 Population models and risk assessment WP6 US EPA projects
3) To model environmental exposure concentrations of nanoparticles in water, air, soils and sediments from the local to the continental scale. 4) To validate the results by comparison with analytical results from published research. WP6: Population models and risk assessment 1) To model effects on ecological systems (i.e. populations) and generate risk assessment models. 2) To assimilate the data from the previous objectives to scale up effects to ecologically relevant entities (i.e. populations) and to produce complete risk assessment models developed appropriately for end users. WP7: Project management 1) To manage the consortium and its stipulated agreement between partners & EU. 2) To coordinate the flow of scientific knowledge, the decision making structures, the control of milestones and deliverables, the promotion of interchange and linkage between project components and partners, and the control and monitoring of administrative and financial issues. 6 Directory Table 1 Directory of people involved in this project. NanoSafetyCluster - Compendium 2012 3) To harmonise actions, to keep the various activities of the project convergent with the central aim of final integration. 4) To review and assess project progress. 5 ModNanoTox: progress to date The project started officially on November 1st 2011 and had a successful kick-off meeting at the Royal Society in London on December 1st and 2 nd , 2011. The kick-off was joint with another modelling project NanoTransKinetics and was attended by representatives from all project partners from both projects, as well as a joint advisory committee the members of which are Rafi Korenstein (University of Tel Aviv), Francesc Giralt (Universitat Rovira i Virgili) and Tomasz Puzyn (University of Gdansk), the projects’ PTA, Cedric Notredame, and PO, Nicolas Segebarth. Highlights from the kick-off include a joint decision of the two projects to share databases and resources (for example to continue joint meetings throughout their duration, share web space) and to work closely together to liaise with other existing large databasing initiatives in biological sciences (e.g. ELIXIR) to learn from and implement similar approaches. First Name Last Name Affiliation Address e-mail Eugenia Valsami-Jones University of Birmingham School of Geography, Earth & Environmental Sciences B15 2TT , Birmingham (United Kingdom) Jamie Lead University of Birmingham School of Geography, Earth & Environmental Sciences B15 2TT , Birmingham (United Kingdom) Paul Martin University of Birmingham School of Geography, Earth & Environmental Sciences B15 2TT , Birmingham (United Kingdom) Michala Pettitt University of Birmingham School of Geography, Earth & Environmental Sciences B15 2TT , Birmingham (United Kingdom) Valery Forbes University of Nebraska Lincoln School of Biological Sciences 348 Manter Hall Lincoln, (USA) NE 68588-0118 Jino Son University of Nebraska Lincoln School of Biological Sciences 348 Manter Hall Lincoln, (USA) NE 68588-0118 e.valsamijones@bham.ac.uk j.r.lead@bham.ac.uk p.martin@bham.ac.uk m.e.pettitt@bham.ac.uk vforbes3@unl.edu vforbes3@unl.edu Compendium of Projects in the European NanoSafety Cluster 77
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Compendium of Projects in the Europ
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EDITED BY Michael Riediker, PD Dr.s
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CONTENTS NanoSafetyCluster - Compen
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Project Acronym ENNSATOX ENPRA EURO
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Foreword NanoSafetyCluster - Compen
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ENNSATOX ENgineered Nanoparticle Im
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The biological membrane and its dep
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distinguishes between the interacti
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Figure 10. Schematic representation
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WP5: • Permeability of NPs in hyd
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NanoSafetyCluster - Compendium 2012
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ENPRA RISK ASSESSMENT OF ENGINEERED
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vitro findings with in vivo models;
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protocols with real biological samp
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and it was organised in the frame o
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First Name Last Name Affiliation Ad
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Page 37 and 38: EURO-NanoTox European Center for Na
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Page 45 and 46: HINAMOX Health Impact of Engineered
Page 47 and 48: High Resolution Electron Microscopy
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Page 51 and 52: powders: What is the difference in
Page 57 and 58: InLiveTox Intestinal, Liver and End
Page 59 and 60: - to develop and validate a novel m
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Page 63 and 64: INSTANT Innovative Sensor for the f
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Page 69 and 70: ITS-NANO Intelligent testing strate
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Page 91 and 92: measurement interval. Measurements
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Page 95 and 96: NANODEVICE Novel Concepts, Methods,
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Page 103 and 104: NanoFATE Nanoparticle Fate Assessme
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Timing, hosts and locations of (grouped) events of NanoImpactNet

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