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Isolation and Identification of Airborne Bacteria Inside Swiftlet Houses in Sarawak, Malaysia

Air consists of such microorganisms as bacteria, fungi, and viruses. Exposure to these airborne bacteria indoors may cause infectious and noninfectious adverse health effects. However, the sources and origins of bacteria are not fully understood. The aim of this study was to isolate and identify the...

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Main Authors:	Samuel, Lihan, Leong, Sui Sien, Chia, Hwa Chuan, Ling, Teck Yee
Format:	Article
Language:	English
Published:	Universitas Indonesia (UI) 2013
Subjects:	Q Science (General) QR Microbiology
Online Access:	http://ir.unimas.my/id/eprint/31017/1/samuel.pdf http://ir.unimas.my/id/eprint/31017/ http://journal.ui.ac.id/index.php/science/article/view/2950
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id	my.unimas.ir.31017
record_format	eprints
spelling	my.unimas.ir.310172021-06-30T17:05:41Z http://ir.unimas.my/id/eprint/31017/ Isolation and Identification of Airborne Bacteria Inside Swiftlet Houses in Sarawak, Malaysia Samuel, Lihan Leong, Sui Sien Chia, Hwa Chuan Ling, Teck Yee Q Science (General) QR Microbiology Air consists of such microorganisms as bacteria, fungi, and viruses. Exposure to these airborne bacteria indoors may cause infectious and noninfectious adverse health effects. However, the sources and origins of bacteria are not fully understood. The aim of this study was to isolate and identify the bacteria present in the air inside swiftlet houses located in Kota Samarahan, Saratok, Betong, Maludam, Miri, Kuching, Semarang, Sepinang, Sarikei, and Sibu in Sarawak, Malaysia. A total of 100 bacterial isolates from 20 samples were collected from swiftlet houses. The bacteria present in the air were collected using Plate Count Agar. Two plates were exposed at the front and back inside swiftlet houses for 15 sec and then incubated at 37 ± 1 oC for 24 h. The 16S rRNA analysis method was used to identify the isolates from the samples. The air inside the swiftlet houses had a total mean airborne bacteria colony count of 2.02 ± 0.72 log10 cfu/m2 /sec; the highest was in Miri (3.08 ± 0.29 log10 cfu/m2 /sec), and the lowest was in Sibu (1.05 ± 0.85 log10 cfu/m2 /sec). Twenty-seven bacteria species were identified, and Lysinibacillus sp. B4 (16%) was most frequently isolated. Universitas Indonesia (UI) 2013 Article PeerReviewed text en http://ir.unimas.my/id/eprint/31017/1/samuel.pdf Samuel, Lihan and Leong, Sui Sien and Chia, Hwa Chuan and Ling, Teck Yee (2013) Isolation and Identification of Airborne Bacteria Inside Swiftlet Houses in Sarawak, Malaysia. Makara Journal of Science, 17 (3). pp. 104-108. ISSN 2356-0851 http://journal.ui.ac.id/index.php/science/article/view/2950 DOI: 10.7454/mss.v17i3
institution	Universiti Malaysia Sarawak
building	Centre for Academic Information Services (CAIS)
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sarawak
content_source	UNIMAS Institutional Repository
url_provider	http://ir.unimas.my/
language	English
topic	Q Science (General) QR Microbiology
spellingShingle	Q Science (General) QR Microbiology Samuel, Lihan Leong, Sui Sien Chia, Hwa Chuan Ling, Teck Yee Isolation and Identification of Airborne Bacteria Inside Swiftlet Houses in Sarawak, Malaysia
description	Air consists of such microorganisms as bacteria, fungi, and viruses. Exposure to these airborne bacteria indoors may cause infectious and noninfectious adverse health effects. However, the sources and origins of bacteria are not fully understood. The aim of this study was to isolate and identify the bacteria present in the air inside swiftlet houses located in Kota Samarahan, Saratok, Betong, Maludam, Miri, Kuching, Semarang, Sepinang, Sarikei, and Sibu in Sarawak, Malaysia. A total of 100 bacterial isolates from 20 samples were collected from swiftlet houses. The bacteria present in the air were collected using Plate Count Agar. Two plates were exposed at the front and back inside swiftlet houses for 15 sec and then incubated at 37 ± 1 oC for 24 h. The 16S rRNA analysis method was used to identify the isolates from the samples. The air inside the swiftlet houses had a total mean airborne bacteria colony count of 2.02 ± 0.72 log10 cfu/m2 /sec; the highest was in Miri (3.08 ± 0.29 log10 cfu/m2 /sec), and the lowest was in Sibu (1.05 ± 0.85 log10 cfu/m2 /sec). Twenty-seven bacteria species were identified, and Lysinibacillus sp. B4 (16%) was most frequently isolated.
format	Article
author	Samuel, Lihan Leong, Sui Sien Chia, Hwa Chuan Ling, Teck Yee
author_facet	Samuel, Lihan Leong, Sui Sien Chia, Hwa Chuan Ling, Teck Yee
author_sort	Samuel, Lihan
title	Isolation and Identification of Airborne Bacteria Inside Swiftlet Houses in Sarawak, Malaysia
title_short	Isolation and Identification of Airborne Bacteria Inside Swiftlet Houses in Sarawak, Malaysia
title_full	Isolation and Identification of Airborne Bacteria Inside Swiftlet Houses in Sarawak, Malaysia
title_fullStr	Isolation and Identification of Airborne Bacteria Inside Swiftlet Houses in Sarawak, Malaysia
title_full_unstemmed	Isolation and Identification of Airborne Bacteria Inside Swiftlet Houses in Sarawak, Malaysia
title_sort	isolation and identification of airborne bacteria inside swiftlet houses in sarawak, malaysia
publisher	Universitas Indonesia (UI)
publishDate	2013
url	http://ir.unimas.my/id/eprint/31017/1/samuel.pdf http://ir.unimas.my/id/eprint/31017/ http://journal.ui.ac.id/index.php/science/article/view/2950
_version_	1705060447632228352
score	13.211869

Isolation and Identification of Airborne Bacteria Inside Swiftlet Houses in Sarawak, Malaysia

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