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Anticipating Safety Issues at the Design Stage of NAno Product Development

Deliverables

Preliminary risk assessment of SbD solutions for the production of target NEPs

Report about the results of a preliminary characterization of risk applying low tier risk assessments models of the identified design alternatives to assist WP1 and WP3 on the selection of the optimum SbD strategies

NM collection, distribution and M-SbD hypothesis

Selection of target NM and NEPs and hypothesis of MSbD solutions 1 candidate antimicrobial NM or encapulating agentadditives and their possible modification 2 analysis of processability in the existing pilots 3 method of delivery how will the NM act how will the resulting NEP be used 4 potential alternativesmodifications for decreasing hazard or exposure potential

Map of existing resources for P-SbD

Report on the identification description and priorization of existing PSbD strategies and resources including gaps identification

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Publications

A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles

Author(s): Mahsa Mirzaei, Irini Furxhi, Finbarr Murphy, Martin Mullins
Published in: Nanomaterials, 11/7, 2021, Page(s) 1774, ISSN 2079-4991
Publisher: Nanomaterials
DOI: 10.3390/nano11071774

Data Shepherding in Nanotechnology. The Initiation

Author(s): Irini Furxhi, Athanasios Arvanitis, Finbarr Murphy, Anna Costa, Magda Blosi
Published in: Nanomaterials, 11/6, 2021, Page(s) 1520, ISSN 2079-4991
Publisher: Nanomaterials
DOI: 10.3390/nano11061520

Polyvinyl alcohol/silver electrospun nanofibers: Biocidal filter media capturing virus‐size particles

Author(s): Magda Blosi, Anna Luisa Costa, Simona Ortelli, Franco Belosi, Fabrizio Ravegnani, Alessio Varesano, Cinzia Tonetti, Ilaria Zanoni, Claudia Vineis
Published in: Journal of Applied Polymer Science, 138/46, 2021, Page(s) 51380, ISSN 0021-8995
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/app.51380

Predicting In Vitro Neurotoxicity Induced by Nanoparticles Using Machine Learning

Author(s): Irini Furxhi, Finbarr Murphy
Published in: International Journal of Molecular Sciences, 21/15, 2020, Page(s) 5280, ISSN 1422-0067
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms21155280