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Detection of Microbial Growth in an Automated Culture System  

Sung, Hye-Ran (National Research Laboratory of PK/PD, CBITRC, College of Pharmacy, Chungbuk National University)
Kim, Il-Hoi (National Research Laboratory of PK/PD, CBITRC, College of Pharmacy, Chungbuk National University)
Kim, Jee-Youn (National Research Laboratory of PK/PD, CBITRC, College of Pharmacy, Chungbuk National University)
Lee, Chong-Kil (National Research Laboratory of PK/PD, CBITRC, College of Pharmacy, Chungbuk National University)
Chung, Yeon-Bok (National Research Laboratory of PK/PD, CBITRC, College of Pharmacy, Chungbuk National University)
Han, Sang-Bae (National Research Laboratory of PK/PD, CBITRC, College of Pharmacy, Chungbuk National University)
Song, Suk-Gil (National Research Laboratory of PK/PD, CBITRC, College of Pharmacy, Chungbuk National University)
Publication Information
Korean Journal of Microbiology / v.44, no.2, 2008 , pp. 130-134 More about this Journal
Abstract
Modern automated culture systems have increased the isolation rate of microorganisms and shortened the time to detection, reducing experimental errors in diagnosis of infecting agents. BacT/ALERT 3D system is based on the colorimetric detection of $CO_2$ produced by the growing microorganisms. In order to evaluate the efficiency of the detection system, sterility test were performed using 6 bacteria. With standard aerobic and anaerobic bottles containing the liquid media, both three aerobic bacteria (P. aeruginosa, M. luteus, B. subtilis) and a facultative bacterium S. aureus were detected up to 1 CFU in 31.44 hr. In addition, growth of anaerobic C. sporogenes was recognized up to 1 CFU in 15.96 hr. The slowly growing bacteria P. acnes was detected up to 10,000 CFU in 129.36 hr. In comparison with conventional culture method, BacT/ALERT 3D automated culture system was more sensitive and saved detection time up to$2\sim10$ hr. Therefore, this automated culture system enables to efficiently detect bacteria in clinical samples and biological medicines.
Keywords
automated culture system; BacT/ALERT; sterility;
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