2015
DOI: 10.1093/annhyg/mev052
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Evaluation of Quantitative Exposure Assessment Method for Nanomaterials in Mixed Dust Environments: Application in Tire Manufacturing Facilities

Abstract: Current recommendations for nanomaterial-specific exposure assessment require adaptation in order to be applied to complicated manufacturing settings, where a variety of particle types may contribute to the potential exposure. The purpose of this work was to evaluate a method that would allow for exposure assessment of nanostructured materials by chemical composition and size in a mixed dust setting, using carbon black (CB) and amorphous silica (AS) from tire manufacturing as an example. This method combined a… Show more

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Cited by 6 publications
(2 citation statements)
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“…The ELPI technique has been used by Kreider et al [28] in a real workplace environment, successfully managing to assess carbon black and amorphous silica in a tire manufacturing facility, confirming the presence of such NPs in the workplace. The method has been found useful in providing quantitative estimates of worker's exposure to NPs.…”
Section: Air Monitoring Of Nanoparticlesmentioning
confidence: 93%
“…The ELPI technique has been used by Kreider et al [28] in a real workplace environment, successfully managing to assess carbon black and amorphous silica in a tire manufacturing facility, confirming the presence of such NPs in the workplace. The method has been found useful in providing quantitative estimates of worker's exposure to NPs.…”
Section: Air Monitoring Of Nanoparticlesmentioning
confidence: 93%
“…The increased application of nanomaterials (NMs) in production (Bekker et al 2013 ; Kreider et al 2015 ) and construction (Hanus and Harris 2013 ; Hincapie et al 2015 ), as well as in a wide range of nano-enabled consumer and medical products (Vance et al 2015 ) has resulted in an enhanced exposure of humans and the environment. Besides the ingestion of NMs with food (Szakal et al 2014 ), direct dermal contact (Gulson et al 2015 ) and inhalation (Donaldson and Seaton 2012 ) represent scenarios that humans may encounter.…”
Section: Introductionmentioning
confidence: 99%