Modeling and predicting the simultaneous growth of listeria monocytogenes and natural flora in minced tuna

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Abstract

The growth kinetics of Listeria monocytogenes and natural flora (NF) in minced tuna from 2 to 30°C were examined, and a simultaneous growth model was developed. The inhibiting effect of the NF on the growth of L. monocytogenes was examined by inoculating different levels of NF isolated from the minced tuna. The kinetic data were fitted to the Baranyi model and estimated the growth parameters such as specific growth rate (μmax), maximum population density (Nmax), and lag time. The temperature and inoculated NF dependency on the μmax of L. monocytogenes and NF were described by modified Ratkowsky's square-root model. As the initial NF level increased, the slopes of the square-root models were decreased for both L. monocytogenes and NF. The Nmax of L. monocytogenes was described as a function of temperature and inoculated NF level. Simultaneous growth prediction of L. monocytogenes and NF under constant temperature conditions was examined by using the differential equations based on the Baranyi model with the effect of interspecies competition substituted into the developed μmax and Nmax models. The root mean square errors between the model prediction and the observation for L. monocytogenes and NF were 0.42 and 0.34, respectively. Predictive simulation under fluctuating temperature conditions also demonstrated a high accuracy of simultaneous prediction for both L. monocytogenes and NF, representing the root mean square errors of 0.19 and 0.34, respectively. These results illustrate that the developed model permits accurate estimation of the behavior of L. monocytogenes in minced tuna under real temperature history until consumption. © International Association for Food Protection.

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Koseki, S., Takizawa, Y., Miya, S., Takahashi, H., & Kimura, B. (2011). Modeling and predicting the simultaneous growth of listeria monocytogenes and natural flora in minced tuna. Journal of Food Protection, 74(2), 176–187. https://doi.org/10.4315/0362-028X.JFP-10-258

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