Earticle

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

키워드

저자

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

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Food Science and Biotechnology

• 간기

  격월간

• pISSN

  1226-7708

• 수록기간

  1992~2009

• 십진분류

  KDC 574 DDC 664