FP7 ERA-NET on Nanosafety
Safe Implementation of Innovative Nanoscience and Nanotechnology

NanoToxClass

Establishing nanomaterial grouping / classification strategies according to toxicity and biological effects for supporting risk assessment

Project start: 1.5.2015 (tbc)
Duration: 36
Total funding: 1.536.561,00 €
Website:


Currently, risk assessment of manufactured nanomaterials (MNM) is done on a case-by-case basis. Given the broad range of different MNM including all possible variations such as size, shape or coating this is a laborious, time- and cost- intensive process. Testing all MNM variants for all possible endpoints is not feasible. One solution to overcome this problem is grouping of MNM. Here we will focus on grouping according to toxicity and biological effects in humans and mammals. We will establish criteria for grouping on the basis of well-established toxicity endpoints, and include novel approaches such as transcriptomics, proteomics and metabolomics. We will consider existing data from finished projects and published studies. Experimental work in the project is planned in a targeted, selective manner, mainly focusing on high content or Omics data delivering information on modes of action. Validation of grouping will be carried out for a few selected MNM.
Andrea Haase 2

Project coordinator:
Dr. Andrea Haase: andrea.haase@bfr.bund.de
German Federal Institute for Risk Assessment (BfR)
Department of Chemicals and Product Safety
Germany

Project partners:


1. Federal Institute for Risk Assessment (BfR),
Germany

2. Helmholtz Centre for Environmental Research (UFZ),
Germany

3. BASF SE
Germany

4. Institute of Energy and Environmental Technology (IUTA)
Germany

5. University Hospital Hamburg-Eppendorf (UKE)
Germany

6. Tel Aviv University
Israel

7. University of Namur
Belgium

8. StratiCell
Belgium

9. University of Porto (ISPUP)
Portugal

10. University of Bucharest
Romania

11. Robert- Koch- Institute (RKI)
Germany

The SIINN ERA-NET 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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