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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국식품영양과학회 Journal of Food Science and Nutrition Journal of Food Science and Nutrition Vol.13 No.2
- 발행연도
- 2008.6
- 수록면
- 104 - 111 (8page)
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As a way to account for the variability of the primary model parameters in the secondary modeling of microbial growth, three different regression approaches were compared in determining the confidence interval of the temperature-dependent primary model parameters and the estimated microbial growth during storage: bootstrapped regression with all the individual primary model parameter values; bootstrapped regression with average values at each temperature; and simple regression with regression lines of 2.5% and 97.5% percentile values. Temperature dependences of converted parameters (log q?, μ<SUB>max</SUB><SUP>1/2</SUP>, log N<SUB>max</SUB>) of hypothetical initial physiological state, maximum specific growth rate, and maximum cell density in Baranyi’s model were subjected to the regression by quadratic, linear, and linear function, respectively. With an advantage of extracting the primary model parameters instantaneously at any temperature by using mathematical functions, regression lines of 2.5% and 97.5% percentile values were capable of accounting for variation in experimental data of microbial growth under constant and fluctuating temperature conditions.
목차
Abstract
INTRODUCTION
MATERIALS AND METHODS
RESULTS AND DISCUSSION
CONCLUSION
ACKNOWLEDGEMENTS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2009-511-014840327