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Influence of Physicochemical Characteristics and Stability of Gold and Silver Nanoparticles on Biological Effects and Translocation across an Intestinal Barrier - A Case Study from In Vitro to In Silico

: Kohl, Yvonne; Hesler, Michelle; Drexel, Roland; Kovar, Lukas; Dähnhardt-Pfeiffer, Stephan; Selzer, Dominik; Wagner, Sylvia; Lehr, Thorsten; Briesen, Hagen von; Meier, Florian

Volltext urn:nbn:de:0011-n-6366044 (4.7 MByte PDF)
MD5 Fingerprint: 69e8cd77a2fc299267520bab1feb24fe
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Erstellt am: 17.8.2021

Nanomaterials 11 (2021), Nr.6, Art. 1358, 21 S.
ISSN: 2079-4991
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IBMT ()

A better understanding of their interaction with cell-based tissue is a fundamental prerequisite towards the safe production and application of engineered nanomaterials. Quantitative experimental data on the correlation between physicochemical characteristics and the interaction and transport of engineered nanomaterials across biological barriers, in particular, is still scarce, thus hampering the development of effective predictive non-testing strategies. Against this background, the presented study investigated the translocation of gold and silver nanoparticles across the gastrointestinal barrier along with related biological effects using an in vitro 3D-triple co-culture cell model. Standardized in vitro assays and quantitative polymerase chain reaction showed no significant influence of the applied nanoparticles on both cell viability and generation of reactive oxygen species. Transmission electron microscopy indicated an intact cell barrier during the translocation study. Single particle ICP-MS revealed a time-dependent increase of translocated nanoparticles independent of their size, shape, surface charge, and stability in cell culture medium. This quantitative data provided the experimental basis for the successful mathematical description of the nanoparticle transport kinetics using a non-linear mixed effects modeling approach. The results of this study may serve as a basis for the development of predictive tools for improved risk assessment of engineered nanomaterials in the future.