Literature DB >> 9075313

Quantitative fit testing techniques and regulations for tight-fitting respirators: current methods measuring aerosol or air leakage, and new developments.

D H Han1, K Willeke, C E Colton.   

Abstract

Until a few years ago, only two quantitative fit testing (QNFT) techniques were available and accepted by U.S. Occupational Safety and Health Administration (OSHA) regulations. In the 1980s and 1990s, several new and fundamentally different QNFT methods were developed. Two of the newer methods are commercially available and are accepted by OSHA as suitable alternatives. In this article the principles of operation of the OSHA-accepted and of some newly developed but not yet approved QNFT techniques are explained, and each technique's major advantages and disadvantages are pointed out. Emphasis is given to negative-pressure air-purifying respirators, as they are in most frequent use today. The requirements and recommendations for fit testing positive-pressure respirators are discussed as well. Finally, the presently available QNFT standards and regulations are summarized to assist the user in making fit testing decisions.

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Year:  1997        PMID: 9075313     DOI: 10.1080/15428119791012874

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


  3 in total

1.  Quantitative Fit Test of a 3D Printed Frame Fitted Over a Surgical Mask: An Alternative Option to N95 Respirator.

Authors:  Suchada Kongkiatkamon; Norachai Wongkornchaowalit; Valailuck Kiatthanakorn; Somkiat Tonphu; Chaiyos Kunanusont
Journal:  Int J Dent       Date:  2022-03-16

2.  Evaluation of full-facepiece respirator fit on fire fighters in the municipality of Jeddah, Saudi Arabia.

Authors:  Mansour A Balkhyour
Journal:  Int J Environ Res Public Health       Date:  2013-01-14       Impact factor: 3.390

3.  Particle Size-Selective Assessment of Protection of European Standard FFP Respirators and Surgical Masks against Particles-Tested with Human Subjects.

Authors:  Shu-An Lee; Dong-Chir Hwang; He-Yi Li; Chieh-Fu Tsai; Chun-Wan Chen; Jen-Kun Chen
Journal:  J Healthc Eng       Date:  2016       Impact factor: 2.682

  3 in total

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