Earticle

초록

영어

User-friendly software was developed to determine the shelf-life of perishable Korean seasoned side dishes in real time based on growth models of spoilage and pathogenic microorganisms. In the program algorithm, the primary spoilage and fastest-growing pathogenic organisms are selected according to the product characteristics, and their growth is simulated based on the previously monitored or recorded temperature history. To predict the growth of spoilage organisms with confidence limits, kinetic models for aerobic bacteria or molds/yeasts from published works are used. Growth models of pathogenic bacteria were obtained from the literature or derived with regression of their growth rate data estimated from established software packages. These models are also used to check whether the risk of pathogenic bacterial growth exceeds that of food spoilage organisms. Many example simulations showed that the shelf-lives of the examined foods are predominantly limited by the growth of spoilage organism rather than by pathogenic bacterial growth.

목차

Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 References

키워드

저자

• II Seo [ Department of Food Science and Biotechnology, Kyungnam University ]
• Duck Soon An [ Department of Food Science and Biotechnology, Kyungnam University ]
• Dong Sun Lee [ Department of Food Science and Biotechnology, Kyungnam University ] 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