Filter Efficiency of Typical Respirator Filters for Nanoscale Particles
Project Information
Principal Investigator | David Pui |
Institution | University of Minnesota |
Project URL | View |
Relevance to Implications | High |
Class of Nanomaterial | Generic |
Impact Sector | Human Health |
Broad Research Categories |
Exposure Safety Control |
NNI identifier |
Funding Information
Country | USA |
Anticipated Total Funding | n/a |
Annual Funding | n/a |
Funding Source | NIOSH |
Funding Mechanism | Intramural |
Funding Sector | Government |
Start Year | 2005 |
Anticipated End Year | 2006 |
Abstract/Summary
Manufactured nanoparticles may exist as separate particles of only a few nanometers. Respirator theory predicts that as particle size decreases from 300 nm, diffusion becomes increasingly effective in capturing the particles on the filter filters. However, a recent study suggests that as particles reach sizes of a few nanometers, capture efficiency begins to decline. The goals of this project are to determine (1) whether single-fiber filtration theory is valid for engineered nanoparticles, (2) the possible boundaries of the most penetrating particle size range, and (3) the filtration boundaries of nanosized particles in the diffusional capture mechanism range. The findings from this study will enable the extension of single fiber theory beyond the traditionally described particle range. These findings will also allow NIOSH to make recommendations regarding the effectiveness of respirator filter media for engineered nanoparticles on the basis of experimental data.