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http://dx.doi.org/10.11002/kjfp.2017.24.6.778

Mathematical modeling of growth of Escherichia coli strain RC-4-D isolated from red kohlrabi sprout seeds  

Choi, Soo Yeon (Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration)
Ryu, Sang Don (Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration)
Park, Byeong-Yong (Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration)
Kim, Se-Ri (Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration)
Kim, Hyun-Ju (Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration)
Lee, Seungdon (Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration)
Kim, Won-Il (Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration)
Publication Information
Food Science and Preservation / v.24, no.6, 2017 , pp. 778-785 More about this Journal
Abstract
This study was conducted to develop a predictive model for the growth of Escherichia coli strain RC-4-D isolated from red kohlrabi sprout seeds. We collected E. coli kinetic growth data during red kohlrabi seed sprouting under isothermal conditions (10, 15, 20, 25, and $30^{\circ}C$). Baranyi model was used as a primary order model for growth data. The maximum growth rate (${\mu}max$) and lag-phase duration (LPD) for each temperature (except for $10^{\circ}C$ LPD) were determined. Three kinds of secondary models (suboptimal Ratkowsky square-root, Huang model, and Arrhenius-type model) were compared to elucidate the influence of temperature on E. coli growth rate. The model performance measures for three secondary models showed that the suboptimal Huang square-root model was more suitable in the accuracy (1.223) and the suboptimal Ratkowsky square-root model was less in the bias (0.999), respectively. Among three secondary order model used in this study, the suboptimal Ratkowsky square-root model showed best fit for the secondary model for describing the effect of temperature. This model can be utilized to predict E. coli behavior in red kohlrabi sprout production and to conduct microbial risk assessments.
Keywords
red kohlrabi; Escherichia coli; predictive model;
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