Occupational and Environmental Medicine · 2018 · 178 citations · 22 references
Public HealthEnvironmental SciencesAir PollutionAir Pollution ControlEnvironmental HealthAir PollutantsAir Pollution MeasurementAir QualityExposure AssessmentParticulate MatterRespiratory ProtectionAir Filtration EfficiencyAir Pollution Exposure PreventionBlack CarbonCarbon BlackDiesel Exhaust ExposureFiltration EfficiencyParticle Filtration EfficiencyParticulate Matter Monitoring
OBJECTIVES: Many residents in Beijing use disposable face masks in an attempt to protect their health from high particulate matter (PM) concentrations. Retail masks may be certified to local or international standards, but their real-life performance may not confer the exposure reduction potential that is marketed. This study aimed to evaluate the effectiveness of a range of face masks that are commercially available in China. METHODS: and black carbon (BC) concentrations upstream and downstream of the filtering medium. Four masks were selected for testing on volunteers. Volunteers were exposed to diesel exhaust inside an experimental chamber while performing sedentary tasks and active tasks. BC concentrations were continuously monitored inside and outside the mask. RESULTS: The mean per cent penetration for each mask material ranged from 0.26% to 29%, depending on the flow rate and mask material. In the volunteer tests, the average total inward leakage (TIL) of BC ranged from 3% to 68% in the sedentary tests and from 7% to 66% in the active tests. Only one mask type tested showed an average TIL of less than 10%, under both test conditions. CONCLUSIONS: Many commercially available face masks may not provide adequate protection, primarily due to poor facial fit. Our results indicate that further attention should be given to mask design and providing evidence-based guidance to consumers.
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Introduction to time series analysis and forecasting
Choice Reviews Online · 2008 · 1.4K citations
Computing, Economics, Mathematics +12
Inhaled Nanoparticles Accumulate at Sites of Vascular Disease
Mark R. Miller, Jennifer Raftis, Jeremy P. Langrish et al. · ACS Nano · 2017 · 611 citations · Full text