Occupational Exposures to Engineered Nanomaterials: a Review of Workplace Exposure Assessment Methods.
Exposure assessment
Nanomaterials
Nanoparticles
Occupational exposure
Journal
Current environmental health reports
ISSN: 2196-5412
Titre abrégé: Curr Environ Health Rep
Pays: Switzerland
ID NLM: 101629387
Informations de publication
Date de publication:
09 2021
09 2021
Historique:
accepted:
19
04
2021
pubmed:
9
6
2021
medline:
29
10
2021
entrez:
8
6
2021
Statut:
ppublish
Résumé
The purpose of this review is to consolidate exposure assessment methods for occupational research on engineered nanomaterials (ENMs) published within the past 5 years (2015-2020). The three ENMs that generated the highest volume of new research include titanium dioxide, graphene, and aluminum oxide. A multi-metric approach, using both online and offline instruments and analyses, has been found to be a useful method to characterize ENM workplace exposures and was commonly used in the recently published literature. Particle number concentration was the most common online exposure metric used, followed by the metrics of mass and surface area. There are currently no consensus methods for offline analyses of most ENMs. Researchers generally used gravimetric or elemental analyses for carbonaceous nanomaterials, titanium dioxide, and other nanometals, but there was little overlap between other ENM materials reviewed. Using biological markers of exposure, such as urinary oxidative stress biomarkers, as an indication of chronic exposure may also be useful for some ENMs and should be further researched. Generally, similar online instrumentation and offline electron microscopy methods were used for all ENMs. However, this consistency was not observed for offline mass analysis methods within specific ENMs. Consolidation of the most recent methods and results of exposure assessments within this broad material category can guide researchers toward future areas of study. Establishing consensus methods of exposure assessment for each individual ENM is crucial to characterizing workplace exposures, pooling data to fully understand their associated risks, and developing useful occupational exposure limits.
Identifiants
pubmed: 34101152
doi: 10.1007/s40572-021-00316-6
pii: 10.1007/s40572-021-00316-6
pmc: PMC10079776
mid: NIHMS1881191
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
223-234Subventions
Organisme : Intramural CDC HHS
ID : CC999999
Pays : United States
Informations de copyright
© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.
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