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dc.contributor.authorCheimarios, Nikolaos
dc.contributor.authorPem, Barbara
dc.contributor.authorTsoumanis, Andreas
dc.contributor.authorIlic, Krunoslav
dc.contributor.authorVrček, Ivana Vinković
dc.contributor.authorMelagraki, Georgia
dc.contributor.authorBitounis, Dimitrios
dc.contributor.authorIsigonis, Panagiotis
dc.contributor.authorDusinska, Maria
dc.contributor.authorLynch, Iseult
dc.contributor.authorDemokritou, Philip
dc.contributor.authorAfantitis, Antreas
dc.date.accessioned2022-11-28T09:04:56Z
dc.date.available2022-11-28T09:04:56Z
dc.date.created2022-11-24T09:25:55Z
dc.date.issued2022
dc.identifier.citationNanomaterials. 2022, 12, 3935.en_US
dc.identifier.issn2079-4991
dc.identifier.urihttps://hdl.handle.net/11250/3034366
dc.description.abstractA freely available “in vitro dosimetry” web application is presented enabling users to predict the concentration of nanomaterials reaching the cell surface, and therefore available for attachment and internalization, from initial dispersion concentrations. The web application is based on the distorted grid (DG) model for the dispersion of engineered nanoparticles (NPs) in culture medium used for in vitro cellular experiments, in accordance with previously published protocols for cellular dosimetry determination. A series of in vitro experiments for six different NPs, with Ag and Au cores, are performed to demonstrate the convenience of the web application for calculation of exposure concentrations of NPs. Our results show that the exposure concentrations at the cell surface can be more than 30 times higher compared to the nominal or dispersed concentrations, depending on the NPs’ properties and their behavior in the cell culture medium. Therefore, the importance of calculating the exposure concentration at the bottom of the cell culture wells used for in vitro arrays, i.e., the particle concentration at the cell surface, is clearly presented, and the tool introduced here allows users easy access to such calculations. Widespread application of this web tool will increase the reliability of subsequent toxicity data, allowing improved correlation of the real exposure concentration with the observed toxicity, enabling the hazard potentials of different NPs to be compared on a more robust basis.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAn In Vitro Dosimetry Tool for the Numerical Transport Modeling of Engineered Nanomaterials Powered by the Enalos RiskGONE Cloud Platformen_US
dc.title.alternativeAn In Vitro Dosimetry Tool for the Numerical Transport Modeling of Engineered Nanomaterials Powered by the Enalos RiskGONE Cloud Platformen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.source.volume12en_US
dc.source.journalNanomaterialsen_US
dc.identifier.doi10.3390/nano12223935
dc.identifier.cristin2079687
dc.relation.projectEC/H2020/101008099en_US
dc.relation.projectEC/H2020/814425en_US
dc.relation.projectNILU - Norsk institutt for luftforskning: 119011en_US
dc.source.articlenumber3935en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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