Cargando…
Identification of airborne microbiota in selected areas in a health-care setting in South Africa
BACKGROUND: The role of bio-aerosols in the spread of disease and spoilage of food has been described in numerous studies; nevertheless this information at South African hospitals is limited. Attributable to their size, bio-aerosols may be suspended in the air for long periods placing patients at ri...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016773/ https://www.ncbi.nlm.nih.gov/pubmed/24750818 http://dx.doi.org/10.1186/1471-2180-14-100 |
_version_ | 1782315561031565312 |
---|---|
author | Setlhare, Gaofetoge Malebo, Ntsoaki Shale, Karabo Lues, Ryk |
author_facet | Setlhare, Gaofetoge Malebo, Ntsoaki Shale, Karabo Lues, Ryk |
author_sort | Setlhare, Gaofetoge |
collection | PubMed |
description | BACKGROUND: The role of bio-aerosols in the spread of disease and spoilage of food has been described in numerous studies; nevertheless this information at South African hospitals is limited. Attributable to their size, bio-aerosols may be suspended in the air for long periods placing patients at risk of infection and possibly settling on surfaces resulting in food contamination. The aim of the study is to assess the microbial composition of the air in the kitchen and selected wards at a typical district hospital in South Africa. Air samples were collected using the settle plates and an SAS Super 90 air sampler by impaction on agar. These microbial samples were quantified and identified using Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) and Analytic Profile Index (API). RESULTS: Microbial counts were found to be higher in the fourth (≤6.0 × 10(1) cfu/m(-3)) sampling rounds when compared to the first (≥2 cfu/m(-3)), second (≤3.0 × 10(1) cfu/m(-3)) and third (≤1.5 × 10(1) cfu/m(-3)) sampling rounds. Genera identified included Bacillus, Kocuria, Staphylococcus, Arthrobacter, Candida, Aureobasidium, Penicillium and Phoma amongst others. The presence of these pathogens is of concern, attributable to their ability to cause diseases in humans especially in those with suppressed host immunity defenses. Furthermore, fungal genera identified (e.g. Candida) in this study are also known to cause food spoilage and fungal infections in patients. CONCLUSION: Results from this study indicate the importance of air quality monitoring in health-care settings to prevent possible hospital-acquired infections and contamination of hospital surfaces including food contact surfaces by airborne contaminants. |
format | Online Article Text |
id | pubmed-4016773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40167732014-05-11 Identification of airborne microbiota in selected areas in a health-care setting in South Africa Setlhare, Gaofetoge Malebo, Ntsoaki Shale, Karabo Lues, Ryk BMC Microbiol Research Article BACKGROUND: The role of bio-aerosols in the spread of disease and spoilage of food has been described in numerous studies; nevertheless this information at South African hospitals is limited. Attributable to their size, bio-aerosols may be suspended in the air for long periods placing patients at risk of infection and possibly settling on surfaces resulting in food contamination. The aim of the study is to assess the microbial composition of the air in the kitchen and selected wards at a typical district hospital in South Africa. Air samples were collected using the settle plates and an SAS Super 90 air sampler by impaction on agar. These microbial samples were quantified and identified using Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) and Analytic Profile Index (API). RESULTS: Microbial counts were found to be higher in the fourth (≤6.0 × 10(1) cfu/m(-3)) sampling rounds when compared to the first (≥2 cfu/m(-3)), second (≤3.0 × 10(1) cfu/m(-3)) and third (≤1.5 × 10(1) cfu/m(-3)) sampling rounds. Genera identified included Bacillus, Kocuria, Staphylococcus, Arthrobacter, Candida, Aureobasidium, Penicillium and Phoma amongst others. The presence of these pathogens is of concern, attributable to their ability to cause diseases in humans especially in those with suppressed host immunity defenses. Furthermore, fungal genera identified (e.g. Candida) in this study are also known to cause food spoilage and fungal infections in patients. CONCLUSION: Results from this study indicate the importance of air quality monitoring in health-care settings to prevent possible hospital-acquired infections and contamination of hospital surfaces including food contact surfaces by airborne contaminants. BioMed Central 2014-04-22 /pmc/articles/PMC4016773/ /pubmed/24750818 http://dx.doi.org/10.1186/1471-2180-14-100 Text en Copyright © 2014 Setlhare et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Research Article Setlhare, Gaofetoge Malebo, Ntsoaki Shale, Karabo Lues, Ryk Identification of airborne microbiota in selected areas in a health-care setting in South Africa |
title | Identification of airborne microbiota in selected areas in a health-care setting in South Africa |
title_full | Identification of airborne microbiota in selected areas in a health-care setting in South Africa |
title_fullStr | Identification of airborne microbiota in selected areas in a health-care setting in South Africa |
title_full_unstemmed | Identification of airborne microbiota in selected areas in a health-care setting in South Africa |
title_short | Identification of airborne microbiota in selected areas in a health-care setting in South Africa |
title_sort | identification of airborne microbiota in selected areas in a health-care setting in south africa |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016773/ https://www.ncbi.nlm.nih.gov/pubmed/24750818 http://dx.doi.org/10.1186/1471-2180-14-100 |
work_keys_str_mv | AT setlharegaofetoge identificationofairbornemicrobiotainselectedareasinahealthcaresettinginsouthafrica AT malebontsoaki identificationofairbornemicrobiotainselectedareasinahealthcaresettinginsouthafrica AT shalekarabo identificationofairbornemicrobiotainselectedareasinahealthcaresettinginsouthafrica AT luesryk identificationofairbornemicrobiotainselectedareasinahealthcaresettinginsouthafrica |