<p>Microbial growth and inactivation kinetics in food can be predicted when the effects of food properties and environmental conditions on microbial responses are available. However the effects of these intrinsic and extrinsic variables on microbial kinetics are often obtained using laboratory media, and deviations between predictions and true behaviour might occur if the specific effect of a food product is not known or considered in the prediction. Therefore, knowing the food specific effect on microbial kinetics might not only result in a more realistic growth and inactivation prediction, but also extend the knowledge on factors influencing growth and heat resistance. In this study, growth predictions of Listeria monocytogenes and Lactob...
Most available predictive models are developed on the basis of data obtained in liquid microbiologic...
Heterogeneity in the response of microbial cells to environmental conditions is inherent to every bi...
Growth/no growth models can be used to determine the chance that microorganisms will grow in specifi...
Microbial growth and inactivation kinetics in food can be predicted when the effects of food propert...
Microbial growth and inactivation kinetics in food can be predicted when the effects of intrinsic fo...
The development of more accurate predictive models that describe the microbial kinetics of mild ther...
Listeria monocytogenes is a foodborne pathogen with a low infective dose, survives under stress cond...
<p>The presence and growth of spoilage organisms in food might affect the shelf life. In this study,...
<p>The presence and growth of spoilage organisms in food might affect the shelf life. In this study,...
Prediction of microbial growth kinetics can differ from the actual behavior of the target microorgan...
Food intrinsic factors e.g., food (micro)structure, compositional and physicochemical aspects, which...
The presence of L. monocytogenes in naturally-contaminated foods, its ability to endure various envi...
AbstractMathematical models taking temperature variations into account are useful in predicting micr...
Document Type : Proceedings Paper Conference Date : AUG 30-SEP 03, 2010 Conference Location : Copenh...
Temperature effect on growth rates of Listeria monocytogenes, Salmonella, Escherichia coli, Clostrid...
Most available predictive models are developed on the basis of data obtained in liquid microbiologic...
Heterogeneity in the response of microbial cells to environmental conditions is inherent to every bi...
Growth/no growth models can be used to determine the chance that microorganisms will grow in specifi...
Microbial growth and inactivation kinetics in food can be predicted when the effects of food propert...
Microbial growth and inactivation kinetics in food can be predicted when the effects of intrinsic fo...
The development of more accurate predictive models that describe the microbial kinetics of mild ther...
Listeria monocytogenes is a foodborne pathogen with a low infective dose, survives under stress cond...
<p>The presence and growth of spoilage organisms in food might affect the shelf life. In this study,...
<p>The presence and growth of spoilage organisms in food might affect the shelf life. In this study,...
Prediction of microbial growth kinetics can differ from the actual behavior of the target microorgan...
Food intrinsic factors e.g., food (micro)structure, compositional and physicochemical aspects, which...
The presence of L. monocytogenes in naturally-contaminated foods, its ability to endure various envi...
AbstractMathematical models taking temperature variations into account are useful in predicting micr...
Document Type : Proceedings Paper Conference Date : AUG 30-SEP 03, 2010 Conference Location : Copenh...
Temperature effect on growth rates of Listeria monocytogenes, Salmonella, Escherichia coli, Clostrid...
Most available predictive models are developed on the basis of data obtained in liquid microbiologic...
Heterogeneity in the response of microbial cells to environmental conditions is inherent to every bi...
Growth/no growth models can be used to determine the chance that microorganisms will grow in specifi...