Research progress on facial classfication and fit testing for the respiratory protective equipment
10.20001/j.issn.2095-2619.20240620
- VernacularTitle:呼吸防护用品颜面分栏和适合性检验研究进展
- Author:
Qifan HUANG
1
;
Shibiao SU
;
Jiawei ZHU
;
Rongzong LI
Author Information
1. Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, Guangdong 510300, China
- Publication Type:Review
- Keywords:
Respiratory protective equipment;
Protective effect;
Facial classfication;
Fit testing;
Research progress
- From:
China Occupational Medicine
2024;51(3):356-361
- CountryChina
- Language:Chinese
-
Abstract:
Respiratory protective equipment (RPE) is an effective measure to protect the health of workers. The domestic and foreign facial classfication of fit testing of RPE is mainly categorized into Los Alamos National Laboratory (LANL) classification, National Institute for Occupational Safety and Health (NIOSH) classification, principal component analysis (PCA) classification, Chinese Han adult facial classification, and Chinese young male facial classification. The LANL classification has low applicability. The NIOSH classification included different ethnicity and region of the study subjects, which is more representative for the American population. The PCA facial classification is complex to use and has low matching with RPE sizes. The Chinese Han adult facial classification and Chinese young male facial classification included more facial data of Chinese Han population and young population. There are qualitative and quantitative fit testing. Qualitative methods include the isoamyl acetate method, saccharin solution aerosol method, aerosol bitter testing solution method, and irritant smoke method which are cost-effective and easy to use, but are highly subjective to the study subjects. Quantitative methods include the aerosol generated method, environmental aerosol condensation nucleus counting method, and the controlled negative pressure method, which accurately quantify the facial fit of RPE but require specific testing equipment and high costs. It is necessary to include occupational populations from multiple industries, combine facial fit testing and fit testing methods of RPE, and establish a follow-up database based on digital information platforms, to achieve dynamic monitoring of respiratory protection levels among different occupational populations in the future.
