Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/165093
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dc.creatorMoreno-Martín, V-
dc.creatorLópez, M-
dc.creatorBou, D-
dc.creatorFraga, S-
dc.creatorTeixeira, JP-
dc.creatorLópez-Lilao, A-
dc.creatorSanfélix, V-
dc.creatorMonfort, E-
dc.creatorViana, M-
dc.date.accessioned2025-02-03T16:07:34Z-
dc.date.available2025-02-03T16:07:34Z-
dc.date.issued2025-
dc.identifier.issn1618-131X-
dc.identifier.issn1438-4639-
dc.identifier.urihttps://hdl.handle.net/10216/165093-
dc.description.abstractResearch on nanoparticle (NP) release and potential exposure can be assessed through experimental field campaigns, laboratory simulations, and prediction models. However, risk assessment models are typically designed for manufactured NP (MNP) and have not been adapted for incidental NP (INP) properties. A notable research gap is identifying NP sources and their chemical, physical, and toxicological properties, especially in real-world settings. This work aims to provide insights into the release and physico-chemical properties of INP while contributing to improving models for INP release. INP release was evaluated through a case study in a ceramic tile firing facility, where aerosol (10 nm - 10 μm) properties were determined. The Control Banding (CB) Nanotool model was applied to test outputs based on provided input parameters. Results: demonstrate the constant generation and release of INP during tile firing, with NP concentrations up to 68711/cm³ and mean diameters of 37 nm, with 95% smaller than 100 nm. Particle morphology was mostly spherical, suggesting nucleation from precursor gases as the main formation mechanism. INP chemical composition was driven by primary ceramic components, while trace elements like Ni and Ti exhibited size-dependent patterns. In vitro cell viability tests indicated low to medium cytotoxicity of PM2 aerosols, decreasing human alveolar epithelial cell viability in a concentration-dependent manner. Applying the risk model with varying input parameters revealed that the risk level (RL) based on severity scores decreased when aerosol size distribution data were used, illustrating the model's sensitivity to input variables. We conclude on the need for comprehensive experimental datasets to support risk assessment models and achieve effective risk management strategies in real-world scenarios. © 2025pt_PT
dc.description.sponsorshipThis work was carried out in the framework of project LIFE-NanoHealth (LIFE20 ENV-ES-000187). It was also supported by the Spanish Ministry of Science and Innovation (Project CEX2018-000794-S), by AGAUR (project 2017 SGR41) and by the Foundation for Science and Technology – FCT (Portuguese Ministry of Science, Technology and Higher Education) under the projects UIDB/04750/2020 and LA/P/0064/2020 with the DOI identifiers https://doi.org/10.54499/UIDB/04750/2020 and https://doi.org/10.54499/LA/P/0064/2020.pt_PT
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB/04750/2020/PTpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA/P/0064/2020/PTpt_PT
dc.relation.ispartofInt J Hyg Environ Health. 2025 Mar:264:114523. doi: 10.1016/j.ijheh.2025.114523. Epub 2025 Jan 25.-
dc.rightsrestrictedAccesspt_PT
dc.titleIncidental nanoparticle characterisation in industrial settings to support risk assessment modellingpt_PT
dc.typeArtigo em Revista Científica Internacionalpt_PT
dc.contributor.uportoInstituto de Saúde Públicapt_PT
dc.identifier.doi10.1016/j.ijheh.2025.114523-
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S1438463925000057?via%3Dihub-
Appears in Collections:ISPUP - Artigo em Revista Científica Internacional

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