Literature DB >> 2346116

Distribution of faceseal leak sites on a half-mask respirator and their association with facial dimensions.

R K Oestenstad1, H K Dillion, L L Perkins.   

Abstract

Faceseal leaks on one brand of half-mask respirator worn by 73 human subjects were identified by deposition of a fluorescent tracer aerosol during a standard quantitative fit test. The identified leaks were categorized according to their location and shape. It was found that about 89% of all observed leaks occurred at the nose or chin or were multiple leaks which included these sites. Fit factors for these types of leaks were significantly lower than for other types of leaks. About 73% of all leaks approximated the shape of a slit rather than a round orifice, and the prevalence of these leaks was affected by gender. Significant association of facial dimensions and leak sites were found. Most of these were attributed to differences in gender, and only a very small percentage were for the facial dimensions used to define the Los Alamos respirator test panel. Significant correlation of facial dimensions and fit factor were found for only three facial dimensions; none of which are used to define the test panel. Evidence of airflow streamlining within the facepiece was observed on 22% of the subjects. Results of this study indicate that respirator leakage is strongly affected by nose and chin leaks, that gender is a factor in how a respirator fits, and that consideration should be given to including nasal dimensions when defining a respirator test panel and selecting a respirator for an individual wearer.

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Year:  1990        PMID: 2346116     DOI: 10.1080/15298669091369664

Source DB:  PubMed          Journal:  Am Ind Hyg Assoc J        ISSN: 0002-8894


  13 in total

1.  A computational model for predicting changes in infection dynamics due to leakage through N95 respirators.

Authors:  Prasanna Hariharan; Neha Sharma; Suvajyoti Guha; Rupak K Banerjee; Gavin D'Souza; Matthew R Myers
Journal:  Sci Rep       Date:  2021-05-21       Impact factor: 4.996

2.  Respirator fit of a medium mask on a group of South Africans: a cross-sectional study.

Authors:  Adri Spies; Kerry S Wilson; Robert Ferrie
Journal:  Environ Health       Date:  2011-03-15       Impact factor: 5.984

3.  Characterization of small-to-medium head-and-face dimensions for developing respirator fit test panels and evaluating fit of filtering facepiece respirators with different faceseal design.

Authors:  Yi-Chun Lin; Chen-Peng Chen
Journal:  PLoS One       Date:  2017-11-27       Impact factor: 3.240

4.  In Search of a Performing Seal: Rethinking the Design of Tight-Fitting Respiratory Protective Equipment Facepieces for Users With Facial Hair.

Authors:  James Meadwell; Lee Paxman-Clarke; David Terris; Peter Ford
Journal:  Saf Health Work       Date:  2019-05-23

5.  Check the gap: Facemask performance and exhaled aerosol distributions around the wearer.

Authors:  Emily L Kolewe; Zachary Stillman; Ian R Woodward; Catherine A Fromen
Journal:  PLoS One       Date:  2020-12-16       Impact factor: 3.240

6.  Bridge the gap: correlate face mask leakage and facial features with 3D morphable face models.

Authors:  Tso-Kang Wang; Tomas Solano; Kourosh Shoele
Journal:  J Expo Sci Environ Epidemiol       Date:  2021-11-05       Impact factor: 6.371

7.  One size fits all?: A simulation framework for face-mask fit on population-based faces.

Authors:  Tomas Solano; Rajat Mittal; Kourosh Shoele
Journal:  PLoS One       Date:  2021-06-16       Impact factor: 3.240

8.  Fitting characteristics of N95 filtering-facepiece respirators used widely in China.

Authors:  Yanyan Yu; Luman Jiang; Ziqing Zhuang; Yuewei Liu; Xinyan Wang; Juyuan Liu; Mingna Yang; Weihong Chen
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

Review 9.  Respiratory protection against bioaerosols: literature review and research needs.

Authors:  Appavoo Rengasamy; Ziqing Zhuang; Roland Berryann
Journal:  Am J Infect Control       Date:  2004-10       Impact factor: 2.918

10.  Unipolar ion emission enhances respiratory protection against fine and ultrafine particles.

Authors:  Byung Uk Lee; Mikhail Yermakov; Sergey A Grinshpun
Journal:  J Aerosol Sci       Date:  2004-07-07       Impact factor: 3.433

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