원문정보
초록
영어
One of the most important aspects of conducting this microbial risk assessment (MRA) is determining the modelin microbial behaviors in food systems. However, to fully these modeling, large expenditures or newly laboratory experimentswill be spent to do it. To overcome these problems, it has to be considered to develop the new strategies that can be used datain the published literatures. This study is to show whether or not the data set from the published experimental data has morevalue for modeling for MRA. To illustrate this suggestion, as example of data set, 4 published Salmonella survival in Cheddarcheese reports were used. Finally, using the GInaFiT tool, survival was modeled by nonlinear polynomial regression modeldescribing the effect of temperature on Weibull model parameters. This model used data in the literatures is useful indescribing behavior of Salmonella during different time and temperature conditions of cheese ripening.
목차
Introduction
Materials and Methods
Results and Discussion
References
