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Incidental nanoparticle characterisation in industrial settings to support risk assessment modelling

2025-01-25Artigo científico Acesso aberto
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dc.contributor.authorMoreno-Martín, Veronica
dc.contributor.authorLópez, Maria
dc.contributor.authorBou, David
dc.contributor.authorFraga, Sónia
dc.contributor.authorTeixeira, João Paulo
dc.contributor.authorLópez-Lilao, Ana
dc.contributor.authorSanfélix, Vicenta
dc.contributor.authorMonfort, Eliseo
dc.contributor.authorViana, Mar
dc.date.accessioned2026-02-03T15:22:11Z
dc.date.available2026-02-03T15:22:11Z
dc.date.issued2025-01-25
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 sizedependent 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.eng
dc.description.abstractHighlights: -Experimental datasets are essential as current models cannot reproduce INP exposure risks. -Incidental NPs were monitored and characterised (phys-chem properties and cytotoxicity). -A size-dependent contribution of tracer metals was observed (0.0156–0.095 μm). -Exposure to PM2 was linked to low-medium cytotoxicity in human alveolar epithelial cells. -Risk severity score decreased when aerosol size distribution was added in CB Nanotool.eng
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))
dc.identifier.citationInt J Hyg Environ Health. 2025 Mar:264:114523. doi: 10.1016/j.ijheh.2025.114523. Epub 2025 Jan 25
dc.identifier.doi10.1016/j.ijheh.2025.114523
dc.identifier.eissn1618-131X
dc.identifier.issn1438-4639
dc.identifier.pmid39862643
dc.identifier.urihttp://hdl.handle.net/10400.18/10797
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationEpidemiology Research Unit - Institute of Public Health, University of Porto
dc.relationLaboratory for Integrative and Translational Research in Population Health
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1438463925000057
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIncidental Nanoparticles
dc.subjectHuman Exposure
dc.subjectIn Vitro Testing
dc.subjectIncidental Nanoparticles
dc.subjectRMM
dc.subjectRisk Management Models
dc.subjectUltrafine Particles
dc.subjectGenotoxicidade Ambiental
dc.titleIncidental nanoparticle characterisation in industrial settings to support risk assessment modellingeng
dc.typejournal article
dcterms.referenceshttps://ars.els-cdn.com/content/image/1-s2.0-S1438463925000057-mmc1.docx
dspace.entity.typePublication
oaire.awardTitleEpidemiology Research Unit - Institute of Public Health, University of Porto
oaire.awardTitleLaboratory for Integrative and Translational Research in Population Health
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04750%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0064%2F2020/PT
oaire.citation.startPage114523
oaire.citation.titleInternational Journal of Hygiene and Environmental Health
oaire.citation.volume264
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isProjectOfPublication05f4f337-eeba-4c07-82ed-4202b21618a2
relation.isProjectOfPublication18ca3cb0-ef66-4dd8-b45e-4cb0654cd7e8
relation.isProjectOfPublication.latestForDiscovery05f4f337-eeba-4c07-82ed-4202b21618a2

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