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Choosing the number of images and image position when analysing the UNC Passive Aerosol Sampler for occupational exposure assessment
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine.
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine.ORCID iD: 0000-0002-8854-498X
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine.ORCID iD: 0000-0003-1227-6859
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2018 (English)In: Journal of Occupational and Environmental Hygiene, ISSN 1545-9624, E-ISSN 1545-9632, Vol. 15, no 11, p. 767-772Article in journal (Refereed) Published
Abstract [en]

The University of North Carolina passive aerosol sampler (UNC sampler) could be an alternative when measuring occupational dust exposure, but the time required for microscopic imaging of the sampler needs to be reduced to make it more attractive. The aims of this study were to 1) characterise the effect on precision when reducing imaging, in order to shorten analysis time and 2) assess if the position of the images makes a difference. Eighty-eight samplers were deployed in different locations of an open pit mine. Sixty images were captured for each UNC sampler, covering 51% of its collection surface, using scanning electron microscopy. Bootstrapped samples were generated with different image combinations, to assess the within-sampler coefficient of variation (CVws) for different numbers of images. In addition, the particle concentration relative to the distance from the centre of the sampler was studied. Reducing the number of images collected from the UNC sampler led to up to 8.3% CVws for ten images when calculating respirable fraction. As the overall CV has previously been assessed to 36%, the additional contribution becomes minimal, increasing the overall CV to 37%. The mean concentrations of the images were modestly related to distance from the centre of the sampler. The CVws changed from 8.26% to 8.13% for ten images when applying rules for the image collection based on distance. Thus, the benefit of these rules on the precision is small and the images can therefore be chosen at random. In conclusion, reducing the number of images analysed from 60 to 10, corresponding to a reduction of the imaged sampling area from 51% to 8.5%, results in a negligible loss in precision for respirable fraction dust measurements in occupational environments.

Place, publisher, year, edition, pages
Taylor & Francis, 2018. Vol. 15, no 11, p. 767-772
Keywords [en]
Dust particles, PM10, PM2.5, occupational hygienist, passive sampling, respirable fraction
National Category
Public Health, Global Health, Social Medicine and Epidemiology Environmental Sciences
Identifiers
URN: urn:nbn:se:umu:diva-152114DOI: 10.1080/15459624.2018.1508875ISI: 000451621900002PubMedID: 30111275OAI: oai:DiVA.org:umu-152114DiVA, id: diva2:1251420
Available from: 2018-09-27 Created: 2018-09-27 Last updated: 2018-12-19Bibliographically approved

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Shirdel, MariamSommar, Johan N.Andersson, Britt M.Bergdahl, Ingvar A.Liljelind, Ingrid E.

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Shirdel, MariamSommar, Johan N.Andersson, Britt M.Bergdahl, Ingvar A.Liljelind, Ingrid E.
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Occupational and Environmental MedicineDepartment of Applied Physics and Electronics
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Journal of Occupational and Environmental Hygiene
Public Health, Global Health, Social Medicine and EpidemiologyEnvironmental Sciences

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