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Persistent Identifier
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perma:LIST.OOASVA |
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Publication Date
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2026-07-06 |
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Title
| Advanced in Vitro and ecotoxicological models for Graphene Oxide risk assessment: Insights from POTENTIAL [* Cross-Reference *] |
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Other Identifier
| DataCite: https://doi.org/10.5281/zenodo.18673283 |
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Author
| Chary, Aline (Luxembourg Institute of Science and Technology) - ORCID: 0000-0002-8325-211X
Houin, Marianne
De Luigi, Ada - ORCID: 0000-0001-7907-7139
Mehennaoui, Kahina (Luxembourg Institute of Science and Technology) - ORCID: 0000-0002-7365-9602
Natale, Carmina - ORCID: 0000-0001-8552-9875
Bigini, Paolo
Serchi, Tommaso (Luxembourg Institute of Science and Technology) - ORCID: 0000-0003-2386-3514
Diomede, Luisa - ORCID: 0000-0002-2258-0531 |
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Point of Contact
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Use email button above to contact.
LIST QDKM (LIST) |
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Description
| Within the POTENTIAL project, this work presents a tiered strategy combining human in vitro models and ecotoxicological assays to assess graphene oxide (GO) safety. Submerged monocultures (A549 and Caco-2) and the advanced ALIsens® 3D alveolar co-culture model were employed alongside Daphnia magna and Caenorhabditis elegans assays. ATP measurement emerged as a robust viability endpoint in monocultures, while the ALIsens® model provided insight into immune and inflammatory responses. Ecotoxicological testing revealed sublethal behavioral effects despite limited acute toxicity at guideline concentrations. The integrated approach delivers reproducible, human- and environmentally relevant data to support regulatory decision-making and safe commercialization of advanced nanomaterials. (2026-02-17)
***This entry has been automatically imported via Datacite by LIST harvest scripts. Please refer to https://doi.org/10.5281/zenodo.18673283 for the original and latest version of the dataset and data downloads*** (2026-02-18) |
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Subject
| Other |
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Related Publication
| References: (HasVersion) 10.5281/zenodo.18673284 https://doi.org/10.5281/zenodo.18673284 |
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Funding Information
| European Commission: 101092901 ("Platform Optimisation To Enable NanomaTerIAL safety assessment for rapid commercialisation") |
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Deposit Date
| 2026-02-17 |
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Data Type
| Text |