Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Development of User-Friendly Modeling Software and Its Application in Processed Meat Products

Authors
Hee young LeePanho LeeSoomin LeeSejeong Kim이지연하지명Yukyung ChoiHyemin Oh윤요한
Issue Date
Jun-2018
Publisher
한국식품위생안전성학회
Keywords
Meat product; Bacterial growth; Software; Kinetic model; Probabilistic model
Citation
한국식품위생안전성학회지, v.33, no.3, pp 157 - 161
Pages
5
Journal Title
한국식품위생안전성학회지
Volume
33
Number
3
Start Page
157
End Page
161
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/2040
DOI
10.13103/JFHS.2018.33.3.157
ISSN
1229-1153
2465-9223
Abstract
The objective of this study was to develop software to predict the kinetic behavior and the probability of foodborne bacterial growth on processed meat products. It is designed for rapid application by non-specialists in predictive microbiology. The software, named Foodborne bacteria Animal product Modeling Equipment (FAME), was developed using Javascript and HTML. FAME consists of a kinetic model and a probabilistic model, and it can be used to predict bacterial growth pattern and probability. In addition, validation and editing of model equation are available in FAME. The data used by the software were constructed with 5,400 frankfurter samples for the kinetic model and 345,600 samples for the probabilistic model using a variety of combinations including atmospheric conditions, temperature, NaCl concentrations and NaNO2 concentrations. Using FAME, users can select the concentrations of NaCl and NaNO2 meat products as well as storage conditions (atmosphere and temperature). The software displays bacterial growth patterns and growth probabilities, which facilitate the determination of optimal safety conditions for meat products. FAME is useful in predicting bacterial kinetic behavior and growth probability, especially for quick application, and is designed for use by non-specialists in predictive microbiology.
Files in This Item
Go to Link
Appears in
Collections
생활과학대학 > 식품영양학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yoon, Yo Han photo

Yoon, Yo Han
생활과학대학 (식품영양학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE