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Local Scale Exposure and Fate of Engineered Nanomaterials
Nanotechnology is a growing megatrend in industrial production and innovations. Many applications utilize engineered nanomaterials (ENMs) that are potentially released into the atmospheric environment, e.g., via direct stack emissions from production facilities. Limited information exists on adverse...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319542/ https://www.ncbi.nlm.nih.gov/pubmed/35878259 http://dx.doi.org/10.3390/toxics10070354 |
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author | Poikkimäki, Mikko Quik, Joris T. K. Säämänen, Arto Dal Maso, Miikka |
author_facet | Poikkimäki, Mikko Quik, Joris T. K. Säämänen, Arto Dal Maso, Miikka |
author_sort | Poikkimäki, Mikko |
collection | PubMed |
description | Nanotechnology is a growing megatrend in industrial production and innovations. Many applications utilize engineered nanomaterials (ENMs) that are potentially released into the atmospheric environment, e.g., via direct stack emissions from production facilities. Limited information exists on adverse effects such ENM releases may have on human health and the environment. Previous exposure modeling approaches have focused on large regional compartments, into which the released ENMs are evenly mixed. However, due to the localization of the ENM release and removal processes, potentially higher airborne concentrations and deposition fluxes are obtained around the production facilities. Therefore, we compare the ENM concentrations from a dispersion model to those from the uniformly mixed compartment approach. For realistic release scenarios, we based the modeling on the case study measurement data from two TiO [Formula: see text] nanomaterial handling facilities. In addition, we calculated the distances, at which 50% of the ENMs are deposited, serving as a physically relevant metric to separate the local scale from the regional scale, thus indicating the size of the high exposure and risk region near the facility. As a result, we suggest a local scale compartment to be implemented in the multicompartment nanomaterial exposure models. We also present a computational tool for local exposure assessment that could be included to regulatory guidance and existing risk governance networks. |
format | Online Article Text |
id | pubmed-9319542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93195422022-07-27 Local Scale Exposure and Fate of Engineered Nanomaterials Poikkimäki, Mikko Quik, Joris T. K. Säämänen, Arto Dal Maso, Miikka Toxics Article Nanotechnology is a growing megatrend in industrial production and innovations. Many applications utilize engineered nanomaterials (ENMs) that are potentially released into the atmospheric environment, e.g., via direct stack emissions from production facilities. Limited information exists on adverse effects such ENM releases may have on human health and the environment. Previous exposure modeling approaches have focused on large regional compartments, into which the released ENMs are evenly mixed. However, due to the localization of the ENM release and removal processes, potentially higher airborne concentrations and deposition fluxes are obtained around the production facilities. Therefore, we compare the ENM concentrations from a dispersion model to those from the uniformly mixed compartment approach. For realistic release scenarios, we based the modeling on the case study measurement data from two TiO [Formula: see text] nanomaterial handling facilities. In addition, we calculated the distances, at which 50% of the ENMs are deposited, serving as a physically relevant metric to separate the local scale from the regional scale, thus indicating the size of the high exposure and risk region near the facility. As a result, we suggest a local scale compartment to be implemented in the multicompartment nanomaterial exposure models. We also present a computational tool for local exposure assessment that could be included to regulatory guidance and existing risk governance networks. MDPI 2022-06-29 /pmc/articles/PMC9319542/ /pubmed/35878259 http://dx.doi.org/10.3390/toxics10070354 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Poikkimäki, Mikko Quik, Joris T. K. Säämänen, Arto Dal Maso, Miikka Local Scale Exposure and Fate of Engineered Nanomaterials |
title | Local Scale Exposure and Fate of Engineered Nanomaterials |
title_full | Local Scale Exposure and Fate of Engineered Nanomaterials |
title_fullStr | Local Scale Exposure and Fate of Engineered Nanomaterials |
title_full_unstemmed | Local Scale Exposure and Fate of Engineered Nanomaterials |
title_short | Local Scale Exposure and Fate of Engineered Nanomaterials |
title_sort | local scale exposure and fate of engineered nanomaterials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319542/ https://www.ncbi.nlm.nih.gov/pubmed/35878259 http://dx.doi.org/10.3390/toxics10070354 |
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