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Developing advanced biological models to anticipate possible side effects in next-generation antimicrobial coatings

Authors: Meier, Philipp; Reina, Giacomo; Kononenko, Veno; Drobne, Damjana; Kurz, Susanne; Spohn, Juliane; Wick, Peter;

Developing advanced biological models to anticipate possible side effects in next-generation antimicrobial coatings

Abstract

The EU Nova Project Project is a consortium of highly motivated researchers to produce next-generation antimicrobial coatings to fight viral, bacterial, and fungal pandemics. In this context, we are anticipating the potential risk of these coatings causing unfavourable toxicological reactions for human health already during the material design stage. Currently, we are developing in vitro assays to assess the biocompatible and immuno compatible properties of coatings used in long-term implantable biomaterials like hernia meshes. This study aims to complement ISO standard 10993 and OECD guidelines by filling gaps through advanced methods. Our approach follows the 3R Principle and includes mimicking release situations from the coating in physiologically relevant conditions using skin and immune models, and with advanced visualization technique FIB/SEM (Focused Ion Beam-Scanning Electron Microscopy).We aim to understand the biological response triggered by nanomaterials/coatings coatings and their mode of action. We incorporate the expertise of research institutes specializing in nanomaterial biointerface interactions.The knowledge gained from previous projects in the field of nanosafety assessment is utilized to develop and expand nano-suitable assays within the NOVA project. The developed methods are highly recommended by authorities to reduce the need for animal assays. Suitable coatings identified in the NOVA project will be further investigated in animal experiments to validate our advanced models as standard procedures beyond the project.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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