Tan, Huiyi and Wong, Keng Yinn and Nyakuma, Bemgba Bevan and Kamar, Haslinda Mohamed and Chong, Wen Tong and Luing Wong, Syie and Kang, Hooi Siang (2022) Systematic study on the relationship between particulate matter and microbial counts in hospital operating rooms. Environmental Science and Pollution Research, 29 (5). pp. 6710-6721. ISSN 0944-1344, DOI https://doi.org/10.1007/s11356-021-16171-9.
Full text not available from this repository.Abstract
In this study, a systematic procedure for establishing the relationship between particulate matter (PM) and microbial counts in four operating rooms (ORs) was developed. The ORs are located in a private hospital on the western coast of Peninsular Malaysia. The objective of developing the systematic procedure is to ensure that the correlation between the PMs and microbial counts are valid. Each of the procedures is conducted based on the ISO, IEST, and NEBB standards. The procedures involved verifying the operating parameters are air change rate, room differential pressure, relative humidity, and air temperature. Upon verifying that the OR parameters are in the recommended operating range, the measurements of the PMs and sampling of the microbes were conducted. The TSI 9510-02 particle counter was used to measure three different sizes of PMs: PM 0.5, PM 5, and PM 10. The MAS-100ECO air sampler was used to quantify the microbial counts. The present study confirms that PM 0.5 does not have an apparent positive correlation with the microbial count. However, the evident correlation of 7% and 15% were identified for both PM 5 and PM 10, respectively. Therefore, it is suggested that frequent monitoring of both PM 5 and PM 10 should be practised in an OR before each surgical procedure. This correlation approach could provide an instantaneous estimation of the microbial counts present in the OR.
Item Type: | Article |
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Funders: | Universiti Teknologi Malaysia [19J15] |
Uncontrolled Keywords: | Operating room; Particulate matter; Microbial count; Air change rate; Differential pressure; Onsite sampling |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Faculty of Engineering > Department of Mechanical Engineering |
Depositing User: | Ms. Juhaida Abd Rahim |
Date Deposited: | 27 Apr 2022 03:14 |
Last Modified: | 27 Apr 2022 03:14 |
URI: | http://eprints.um.edu.my/id/eprint/33786 |
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