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논문검색

Predictive Modeling for Microbial Risk Assessment (MRA) from the Literature Experimental Data

원문정보

Gyung-Jin Bahk

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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

Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 References

저자정보

  • Gyung-Jin Bahk Department of Food and Nutrition, Kunsan National University, Gunsan, Jeonbuk 573-701, Korea

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자료제공 : 네이버학술정보

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