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Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment?
Dustiness is not an intrinsic physically defined property of a powder, but the tendency of particles to become airborne in response to mechanical and/or aerodynamic stimuli. The present study considers a set of 10 physical properties to which the powder dustiness can be attributed. Through a prelimi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853698/ https://www.ncbi.nlm.nih.gov/pubmed/31587034 http://dx.doi.org/10.1093/annweh/wxz065 |
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author | Shandilya, Neeraj Kuijpers, Eelco Tuinman, Ilse Fransman, Wouter |
author_facet | Shandilya, Neeraj Kuijpers, Eelco Tuinman, Ilse Fransman, Wouter |
author_sort | Shandilya, Neeraj |
collection | PubMed |
description | Dustiness is not an intrinsic physically defined property of a powder, but the tendency of particles to become airborne in response to mechanical and/or aerodynamic stimuli. The present study considers a set of 10 physical properties to which the powder dustiness can be attributed. Through a preliminary investigation of a standardized continuous drop test scenario, we present first set of results on the varying degrees or weights of influence of these properties on the aerosolization tendency of powder particles. The inter-particle distance is found to be the most dominant property controlling the particle aerosolization, followed by the ability of powder particles to get electrostatically charged. We observe the kinetics involved during powder aerosolization to be governed by two ratios: drag force/cohesive force and drag force/gravitational force. The converging tendencies in these initial results indicate that these physical properties can be used to model dustiness of falling powder, which can eventually be used in risk assessment tools for an efficient exposure estimation of the powders. |
format | Online Article Text |
id | pubmed-6853698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68536982019-11-19 Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment? Shandilya, Neeraj Kuijpers, Eelco Tuinman, Ilse Fransman, Wouter Ann Work Expo Health Original Articles Dustiness is not an intrinsic physically defined property of a powder, but the tendency of particles to become airborne in response to mechanical and/or aerodynamic stimuli. The present study considers a set of 10 physical properties to which the powder dustiness can be attributed. Through a preliminary investigation of a standardized continuous drop test scenario, we present first set of results on the varying degrees or weights of influence of these properties on the aerosolization tendency of powder particles. The inter-particle distance is found to be the most dominant property controlling the particle aerosolization, followed by the ability of powder particles to get electrostatically charged. We observe the kinetics involved during powder aerosolization to be governed by two ratios: drag force/cohesive force and drag force/gravitational force. The converging tendencies in these initial results indicate that these physical properties can be used to model dustiness of falling powder, which can eventually be used in risk assessment tools for an efficient exposure estimation of the powders. Oxford University Press 2019-11 2019-10-06 /pmc/articles/PMC6853698/ /pubmed/31587034 http://dx.doi.org/10.1093/annweh/wxz065 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the British Occupational Hygiene Society. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Shandilya, Neeraj Kuijpers, Eelco Tuinman, Ilse Fransman, Wouter Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment? |
title | Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment? |
title_full | Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment? |
title_fullStr | Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment? |
title_full_unstemmed | Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment? |
title_short | Powder Intrinsic Properties as Dustiness Predictor for an Efficient Exposure Assessment? |
title_sort | powder intrinsic properties as dustiness predictor for an efficient exposure assessment? |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853698/ https://www.ncbi.nlm.nih.gov/pubmed/31587034 http://dx.doi.org/10.1093/annweh/wxz065 |
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