Standard Guide for Respirator Fit Testing Methods

10.1520/f3537 ◽  
2021 ◽  
Author(s):  
Keyword(s):  
2020 ◽  
Author(s):  
Eugenia O'Kelly ◽  
Anmol Arora ◽  
Charlotte Pearson ◽  
James Ward ◽  
P John Clarkson

Introduction: Qualitative fit testing is a popular method of ensuring the fit of sealing face masks such as N95 and FFP3 masks. Increased demand due to the COVID-19 pandemic has led to shortages in testing equipment and has forced many institutions to abandon fit testing. Three key materials are required for qualitative fit testing: the test solution, nebulizer, and testing hood. Accessible alternatives to the testing solution have been studied. This exploratory qualitative study evaluates alternatives to the nebulizer and hoods for performing qualitative fit testing. Methods: Four devices were trialled to replace the test kit nebulizer. Two enclosures were tested for their ability to replace the test hood. Three researchers evaluated promising replacements under multiple mask fit conditions to assess functionality and accuracy. Results: The aroma diffuser and smaller enclosures allowed participants to perform qualitative fit tests quickly and with high accuracy. Discussion & Conclusion: Aroma diffusers show significant promise in their ability to allow individuals to quickly, easily, and inexpensively perform qualitative fit testing. Our findings indicate that aroma diffusers and homemade testing hoods may allow for qualitative fit testing when conventional apparatus is unavailable. Additional research is needed to evaluate the safety and reliability of these devices.


2010 ◽  
Vol 20-23 ◽  
pp. 512-517
Author(s):  
Ai Hong Wang ◽  
Ge Ning Xu ◽  
You Shan Gao ◽  
Ping Yang

Six distribution model tested by D、A2、W2 statistics of 249 bridge crane load spectrum sample in a week. The results show that distribution model hypothesis, distribution testing methods, significant level all impact the testing results. Three-parameter Weibull distribution fit the bridge crane load spectrum best compared with the other distribution model.


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