Development of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model

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dc.contributor.authorK Y Seo-
dc.contributor.authorS K Heo-
dc.contributor.authorC Lee-
dc.contributor.authorD H Chung-
dc.contributor.authorMin-Gon Kim-
dc.contributor.authorK H Lee-
dc.contributor.authorK S Kim-
dc.contributor.authorG J Bahk-
dc.contributor.authorD H Bae-
dc.contributor.authorK Y Kim-
dc.contributor.authorC H Kim-
dc.contributor.authorS D Ha-
dc.date.accessioned2017-04-19T09:08:02Z-
dc.date.available2017-04-19T09:08:02Z-
dc.date.issued2007-
dc.identifier.issn1017-7825-
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/8081-
dc.description.abstractA response surface model was developed for predicting the growth rates of Staphylococcus aureus in tryptic soy broth (TSB) medium as a function of combined effects of temperature, pH, and NaCl. The TSB containing six different concentrations of NaCl (0, 2, 4, 6, 8, and 10%) was adjusted to an initial of six different pH levels (pH 4, 5, 6, 7, 8, 9, and 10) and incubated at 10, 20, 30, and 40°C. In all experimental variables, the primary growth curves were well (r2=0.9000 to 0.9975) fitted to a Gompertz equation to obtain growth rates. The secondary response surface model for natural logarithm transformations of growth rates as a function of combined effects of temperature, pH, and NaCl was obtained by SAS's general linear analysis. The predicted growth rates of the S. aureus were generally decreased by basic (pH 9-10) or acidic (pH 5-6) conditions and higher NaCl concentrations. The response surface model was identified as an appropriate secondary model for growth rates on the basis of correlation coefficient (r=0.9703), determination coefficient (r2=0.9415), mean square error (MSE=0.0185), bias factor (Bf=1.0216), and accuracy factor (Af=1.2583). Therefore, the developed secondary model proved reliable for predictions of the combined effect of temperature, NaCl, and pH on growth rates for S. aureus in TSB medium.-
dc.publisherKorea Soc-Assoc-Inst-
dc.titleDevelopment of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model-
dc.title.alternativeDevelopment of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model-
dc.typeArticle-
dc.citation.titleJournal of Microbiology and Biotechnology-
dc.citation.number9-
dc.citation.endPage1444-
dc.citation.startPage1437-
dc.citation.volume17-
dc.contributor.affiliatedAuthorMin-Gon Kim-
dc.contributor.alternativeName서교영-
dc.contributor.alternativeName허선경-
dc.contributor.alternativeName이찬-
dc.contributor.alternativeName정덕화-
dc.contributor.alternativeName김민곤-
dc.contributor.alternativeName이규호-
dc.contributor.alternativeName김근성-
dc.contributor.alternativeName박경진-
dc.contributor.alternativeName배동호-
dc.contributor.alternativeName김광엽-
dc.contributor.alternativeName김철호-
dc.contributor.alternativeName하상도-
dc.identifier.bibliographicCitationJournal of Microbiology and Biotechnology, vol. 17, no. 9, pp. 1437-1444-
dc.subject.keywordgrowth rates-
dc.subject.keywordresponse surface model-
dc.subject.keywordstaphylococcus aureus-
dc.subject.localgrowth rates-
dc.subject.localresponse surface model-
dc.subject.localStaphylococcus aureus-
dc.subject.localstaphylococcus aureus-
dc.description.journalClassY-
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