Frame to Improve the Fit of N95 Filtering Face Mask Respirators

Autor: Marshall Ge, Daniel Stemen, Darryl Hwang, Neha Nanda, Burhan Qaddoumi, Elisabeth H. Ference, Mark Roden
Rok vydání: 2021
Předmět:
Zdroj: Journal of Occupational and Environmental Medicine
ISSN: 1536-5948
1076-2752
DOI: 10.1097/jom.0000000000002223
Popis: Objective: Test a device that can improve upon the seal of filtering face mask respirators (FFRs). Methods: A 3-D prototype for a fit improvement frame (FIF) was created and quantitative fit testing was performed for FFRs with and without the FIF. Results: Thirty eight volunteers underwent fit testing. The overall fit pass rate was 100% for the 3M model 1860 masks, 50% for the 3M model 8511 masks, 13% for the BYD CARE model DE2322, and 7% for the Honeywell DC300N95. When using the FIF the overall passing rate increase to 87% for the DE2322 + FIF (P
Databáze: OpenAIRE