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Assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model

Background: The Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) regulation requires the establishment of Conditions of Use (CoU) for all exposure scenarios to ensure good communication of safe working practices. Setting CoU requires the risk assessment of all relevant Co...

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Autores principales: Koivisto, Antti Joonas, Spinazzè, Andrea, Verdonck, Frederik, Borghi, Francesca, Löndahl, Jakob, Koponen, Ismo Kalevi, Verpaele, Steven, Jayjock, Michael, Hussein, Tareq, Lopez de Ipiña, Jesus, Arnold, Susan, Furxhi, Irini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446057/
https://www.ncbi.nlm.nih.gov/pubmed/37645135
http://dx.doi.org/10.12688/openreseurope.13752.1
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author Koivisto, Antti Joonas
Spinazzè, Andrea
Verdonck, Frederik
Borghi, Francesca
Löndahl, Jakob
Koponen, Ismo Kalevi
Verpaele, Steven
Jayjock, Michael
Hussein, Tareq
Lopez de Ipiña, Jesus
Arnold, Susan
Furxhi, Irini
author_facet Koivisto, Antti Joonas
Spinazzè, Andrea
Verdonck, Frederik
Borghi, Francesca
Löndahl, Jakob
Koponen, Ismo Kalevi
Verpaele, Steven
Jayjock, Michael
Hussein, Tareq
Lopez de Ipiña, Jesus
Arnold, Susan
Furxhi, Irini
author_sort Koivisto, Antti Joonas
collection PubMed
description Background: The Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) regulation requires the establishment of Conditions of Use (CoU) for all exposure scenarios to ensure good communication of safe working practices. Setting CoU requires the risk assessment of all relevant Contributing Scenarios (CSs) in the exposure scenario. A new CS has to be created whenever an Operational Condition (OC) is changed, resulting in an excessive number of exposure assessments. An efficient solution is to quantify OC concentrations and to identify reasonable worst-case scenarios with probabilistic exposure modeling. Methods: Here, we appoint CoU for powder pouring during the industrial manufacturing of a paint batch by quantifying OC exposure levels and exposure determinants. The quantification was performed by using stationary measurements and a probabilistic Near-Field/Far-Field (NF/FF) exposure model. Work shift and OC concentration levels were quantified for pouring TiO (2) from big bags and small bags, pouring Micro Mica from small bags, and cleaning. The impact of exposure determinants on NF concentration level was quantified by (1) assessing exposure determinants correlation with the NF exposure level and (2) by performing simulations with different OCs. Results: Emission rate, air mixing between NF and FF and local ventilation were the most relevant exposure determinants affecting NF concentrations. Potentially risky OCs were identified by performing Reasonable Worst Case (RWC) simulations and by comparing the exposure 95 (th) percentile distribution with 10% of the occupational exposure limit value (OELV). The CS was shown safe except in RWC scenario (ventilation rate from 0.4 to 1.6 1/h, 100 m (3) room, no local ventilation, and NF ventilation of 1.6 m (3)/min). Conclusions: The CoU assessment was considered to comply with European Chemicals Agency (ECHA) legislation and EN 689 exposure assessment strategy for testing compliance with OEL values. One RWC scenario would require measurements since the exposure level was 12.5% of the OELV.
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spelling pubmed-104460572023-08-29 Assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model Koivisto, Antti Joonas Spinazzè, Andrea Verdonck, Frederik Borghi, Francesca Löndahl, Jakob Koponen, Ismo Kalevi Verpaele, Steven Jayjock, Michael Hussein, Tareq Lopez de Ipiña, Jesus Arnold, Susan Furxhi, Irini Open Res Eur Research Article Background: The Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) regulation requires the establishment of Conditions of Use (CoU) for all exposure scenarios to ensure good communication of safe working practices. Setting CoU requires the risk assessment of all relevant Contributing Scenarios (CSs) in the exposure scenario. A new CS has to be created whenever an Operational Condition (OC) is changed, resulting in an excessive number of exposure assessments. An efficient solution is to quantify OC concentrations and to identify reasonable worst-case scenarios with probabilistic exposure modeling. Methods: Here, we appoint CoU for powder pouring during the industrial manufacturing of a paint batch by quantifying OC exposure levels and exposure determinants. The quantification was performed by using stationary measurements and a probabilistic Near-Field/Far-Field (NF/FF) exposure model. Work shift and OC concentration levels were quantified for pouring TiO (2) from big bags and small bags, pouring Micro Mica from small bags, and cleaning. The impact of exposure determinants on NF concentration level was quantified by (1) assessing exposure determinants correlation with the NF exposure level and (2) by performing simulations with different OCs. Results: Emission rate, air mixing between NF and FF and local ventilation were the most relevant exposure determinants affecting NF concentrations. Potentially risky OCs were identified by performing Reasonable Worst Case (RWC) simulations and by comparing the exposure 95 (th) percentile distribution with 10% of the occupational exposure limit value (OELV). The CS was shown safe except in RWC scenario (ventilation rate from 0.4 to 1.6 1/h, 100 m (3) room, no local ventilation, and NF ventilation of 1.6 m (3)/min). Conclusions: The CoU assessment was considered to comply with European Chemicals Agency (ECHA) legislation and EN 689 exposure assessment strategy for testing compliance with OEL values. One RWC scenario would require measurements since the exposure level was 12.5% of the OELV. F1000 Research Limited 2021-06-21 /pmc/articles/PMC10446057/ /pubmed/37645135 http://dx.doi.org/10.12688/openreseurope.13752.1 Text en Copyright: © 2021 Koivisto AJ et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Koivisto, Antti Joonas
Spinazzè, Andrea
Verdonck, Frederik
Borghi, Francesca
Löndahl, Jakob
Koponen, Ismo Kalevi
Verpaele, Steven
Jayjock, Michael
Hussein, Tareq
Lopez de Ipiña, Jesus
Arnold, Susan
Furxhi, Irini
Assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model
title Assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model
title_full Assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model
title_fullStr Assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model
title_full_unstemmed Assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model
title_short Assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model
title_sort assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446057/
https://www.ncbi.nlm.nih.gov/pubmed/37645135
http://dx.doi.org/10.12688/openreseurope.13752.1
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