Zobrazit v EDS

Occupational inhalation exposure during surface disinfection—exposure assessment based on exposure models compared with measurement data

Uloženo v:
Podrobná bibliografie
Název: Occupational inhalation exposure during surface disinfection—exposure assessment based on exposure models compared with measurement data
Autoři: Lea Anhäuser, Benedikt Piorr, Mario Arnone, Wolfgang Wegscheider, Johannes Gerding
Zdroj: J Expo Sci Environ Epidemiol
Informace o vydavateli: Springer Science and Business Media LLC, 2023.
Rok vydání: 2023
Témata: Disinfection, Inhalation Exposure, 03 medical and health sciences, 0302 clinical medicine, Occupational Exposure, Occupational Exposure/analysis [MeSH], Humans [MeSH], Inhalation Exposure/analysis [MeSH], Inhalation exposure, Measurement data, Exposure assessment, Air Pollutants, Occupational/analysis [MeSH], Model quality, Article, Models, Theoretical [MeSH], Disinfectants/analysis [MeSH], Disinfection/methods [MeSH], Exposure modelling, Surface disinfection, Environmental Monitoring/methods [MeSH], article, Humans, Air Pollutants, Occupational, Models, Theoretical, Disinfectants, Environmental Monitoring
Popis: Background For healthcare workers, surface disinfections are daily routine tasks. An assessment of the inhalation exposure to hazardous substances, in this case the disinfectant´s active ingredients, is necessary to ensure workers safety. However, deciding which exposure model is best for exposure assessment remains difficult. Objective The aim of the study was to evaluate the applicability of different exposure models for disinfection of small surfaces in healthcare settings. Methods Measurements of the air concentration of active ingredients in disinfectants (ethanol, formaldehyde, glutaraldehyde, hydrogen peroxide, peroxyacetic acid) together with other exposure parameters were recorded in a test chamber. The measurements were performed using personal and stationary air sampling. In addition, exposure modelling was performed using three deterministic models (unsteady 1-zone, ConsExpo and 2-component) and one modifying-factor model (Stoffenmanager®). Their estimates were compared with the measured values using various methods to assess model quality (like accuracy and level of conservatism). Results The deterministic models showed overestimation predominantly in the range of two- to fivefold relative to the measured data and high conservatism for all active ingredients of disinfectants with the exception of ethanol. With Stoffenmanager® an exposure distribution was estimated for ethanol, which was in good accordance with the measured data. Impact statement To date, workplace exposure assessments often involve expensive and time consuming air measurements. Reliable exposure models can be used to assess occupational inhalation exposure to hazardous substances, in this case surface disinfectants. This study describes the applicability of three deterministic and one modifying-factor model for disinfection of small surfaces in healthcare settings, in direct comparison to measurements performed and will facilitate future exposure assessments at these workplaces.
Druh dokumentu: Article
Other literature type
Jazyk: English
ISSN: 1559-064X
1559-0631
DOI: 10.1038/s41370-023-00633-y
Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38145997
https://repository.publisso.de/resource/frl:6501360
Rights: CC BY
Přístupové číslo: edsair.doi.dedup.....357c0ce2024cd12c77cf7dfdfe0e957f
Databáze: OpenAIRE
Popis
Abstrakt:Background For healthcare workers, surface disinfections are daily routine tasks. An assessment of the inhalation exposure to hazardous substances, in this case the disinfectant´s active ingredients, is necessary to ensure workers safety. However, deciding which exposure model is best for exposure assessment remains difficult. Objective The aim of the study was to evaluate the applicability of different exposure models for disinfection of small surfaces in healthcare settings. Methods Measurements of the air concentration of active ingredients in disinfectants (ethanol, formaldehyde, glutaraldehyde, hydrogen peroxide, peroxyacetic acid) together with other exposure parameters were recorded in a test chamber. The measurements were performed using personal and stationary air sampling. In addition, exposure modelling was performed using three deterministic models (unsteady 1-zone, ConsExpo and 2-component) and one modifying-factor model (Stoffenmanager®). Their estimates were compared with the measured values using various methods to assess model quality (like accuracy and level of conservatism). Results The deterministic models showed overestimation predominantly in the range of two- to fivefold relative to the measured data and high conservatism for all active ingredients of disinfectants with the exception of ethanol. With Stoffenmanager® an exposure distribution was estimated for ethanol, which was in good accordance with the measured data. Impact statement To date, workplace exposure assessments often involve expensive and time consuming air measurements. Reliable exposure models can be used to assess occupational inhalation exposure to hazardous substances, in this case surface disinfectants. This study describes the applicability of three deterministic and one modifying-factor model for disinfection of small surfaces in healthcare settings, in direct comparison to measurements performed and will facilitate future exposure assessments at these workplaces.
ISSN:1559064X
15590631
DOI:10.1038/s41370-023-00633-y