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

Development of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model. Research Abstract Details 

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  • Development of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model. Abstract Text:

    kyo-young seoKyo-Young Seo,sun-kyung heoSun-Kyung Heo,chan leeChan Lee,duck hwa chungDuck Hwa Chung,min-gon kimMin-Gon Kim,kyu-ho leeKyu-Ho Lee,keun-sung kimKeun-Sung Kim,gyung-jin bahkGyung-Jin Bahk,dong-ho baeDong-Ho Bae,kwang-yup kimKwang-Yup Kim,cheorl-ho kimsCheorl-Ho Kims,sang-do haSang-Do Ha,

    A 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 degrees 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 (B(f)=1.0216), and accuracy factor (A(f)=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.

    Development of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model. Publishing Authors By Initials

    ky seoKY Seo,sk heoSK Heo,c leeC Lee,dh chungDH Chung,mg kimMG Kim,kh leeKH Lee,ks kimKS Kim,gj bahkGJ Bahk,dh baeDH Bae,ky kimKY Kim,ch kimsCH Kims,sd haSD Ha,

    For similar abstracts research abstracts see: abstracts research

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    Development of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Journal of microbiology and biotechnology

    VOLUME: 17

    Page Numbers: 1437-44

    Journal Abbreviation: J. Microbiol. Biotechnol.

    ISSN: 1017-7825

    DAY: 7

    MONTH: Sep

    YEAR: 2007

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

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    LANGUAGE: eng

    NlmUniqueID: 9431852

    Development of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model. Keywords Mesh Terms:

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    Grant and Affiliation Information for Development of predictive mathematical model for the growth kinetics of Staphylococcus aureus by response surface model.

    AFFILIATION: Department of Food Science and Technology, Chung-Ang University, Ansung 456-756, Korea.

    Country: Korea (South)

    Korea (South) Research PublicationKorea (South) Research Publication

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    MEDLINETA: J Microbiol Biotechnol

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