NDLI: Predictive modeling of Staphylococcus aureus growth on Gwamegi (semidry Pacific saury) as a function of temperature

Content Provider	Springer Nature Link
Author	Ha, Sang Do Jeong, Seung Weon Kim, Jong Chan Jang, Mi Kang, Hui Seung
Copyright Year	2013
Abstract	Gwamegi (semidry Pacific saury [Cololabis saira]) is a Korean food made by a traditional method of repeated freezing and de-freezing during winter. The present study aimed at developing predictive modeling of S. aureus growth on Gwamegi as a function of temperature (10–35°C). Modified Gompertz, Baranyi, and logistic primary models were fitted to experimental values. Polynomial quadratic, nonlinear Arrhenius and square root models were selected as secondary models and analyzed using specific growth rate (μ$_{max}$) and lag time (λ) values obtained from the primary models. Based on the optimized models derived from the Baranyi and square root equations for μ$_{max}$, its r $^{2}$ and mean square error (MSE) were 0.991 and 0.00058, and bias factor (B $_{f}$) and accuracy factor (A $_{f}$) were 1.0087 and 1.0801, respectively. The logistic and polynomial quadratic equations for λ, its r $^{2}$ and MSE were 0.989 and 0.22834, B $_{f}$ and A $_{f}$ were 0.9742 and 1.0271, respectively. These predictive models can provide basic information for quantitative microbial risk assessment of Gwamegi and other processed semidried seafood.
Starting Page	731
Ending Page	738
Page Count	8
File Format	PDF
ISSN	17382203
Journal	Journal of the Korean Society for Applied Biological Chemistry
Volume Number	56
Issue Number	6
e-ISSN	2234344X
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-12-31
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	predictive model temperature Applied Microbiology Biological Techniques Gwamegi Staphylococcus aureus validation Bioorganic Chemistry
Content Type	Text
Resource Type	Article
Subject	Organic Chemistry Biochemistry, Genetics and Molecular Biology

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