Objective
Nanotechnology promises significant scientific, economic and societal benefits, but commercialization and growth are threatened by safety uncertainties. Classical hazard testing strategies to define the human and environmental health impact of engineered nanomaterials (ENM) commonly apply unrealistic acute, high-doses to models that do not reflect the in vivo environment. Furthermore, existing in vitro and in silico hazard detection methods are not accurately predictive. PATROLS addresses these limitations by establishing and standardizing the next generation of advanced safety assessment tools for improved prediction of the adverse effects caused by chronic ENM exposure in human and environmental systems. PATROLS will deliver: 1) physiologically representative multi-cellular in vitro 3D lung, gastrointestinal tract and liver models; 2) cross-species models integrating human and environmental safety testing; 3) innovative ecotoxicity bioassays in several organisms across a food chain; 4) robust in silico models for dosimetry, interspecies toxicity extrapolation and hazard prediction. ENM characterization under physiologically relevant experimental conditions will be integral to this realistic, exposure driven strategy. A systems biology approach will also be adopted to identify key events linked to adverse outcome pathways, informing mechanism-based endpoints associated with real-life ENM exposures. These objectives will be achieved by an international network of world-leading academic, governmental, industrial, SME, risk assessment agency and NGO partners. The innovative in vitro and in silico nanosafety testing tools developed by PATROLS will balance speed, cost and biological complexity, while reducing uncertainty via improved predictive power. The smart targeted testing approach will drive a paradigm shift in (eco)toxicology towards mechanism-based ENM hazard assessment to support policy development in human and environmental nanosafety regulatory frameworks.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
SA2 8PP Swansea
United Kingdom
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Participants (23)
EX4 4QJ Exeter
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1700 Fribourg
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EH14 4AS Edinburgh
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2311 EZ Leiden
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56126 Pisa
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1348 Louvain La Neuve
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5000 Namur
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2800 Kongens Lyngby
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80-172 Gdansk
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
02138 Cambridge
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SC29208 Columbia
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2100 Kobenhavn
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3721 MA Bilthoven
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48149 Muenster
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SN2 1FL Swindon
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305-340 DAEJEON
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EH14 4AP EDINBURGH
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00185 Roma
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40225 Dusseldorf
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67063 Ludwigshafen Am Rhein
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8952 Schlieren
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20520 Turku
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1150 Bruxelles / Brussel
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