| dc.contributor.author |
Psomas, AN |
en |
| dc.contributor.author |
Nychas, G-J |
en |
| dc.contributor.author |
Haroutounian, SA |
en |
| dc.contributor.author |
Skandamis, PN |
en |
| dc.date.accessioned |
2014-06-06T06:51:16Z |
|
| dc.date.available |
2014-06-06T06:51:16Z |
|
| dc.date.issued |
2011 |
en |
| dc.identifier.issn |
01681699 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1016/j.compag.2011.01.013 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/5415 |
|
| dc.subject |
Dynamic temperature conditions |
en |
| dc.subject |
Food safety |
en |
| dc.subject |
Microbial growth prediction |
en |
| dc.subject |
Predictive microbiology |
en |
| dc.subject |
Safety tertiary model |
en |
| dc.subject.other |
Decision support tools |
en |
| dc.subject.other |
Effect of temperature |
en |
| dc.subject.other |
Expert users |
en |
| dc.subject.other |
Food industries |
en |
| dc.subject.other |
Food microorganisms |
en |
| dc.subject.other |
Microbial growth |
en |
| dc.subject.other |
Microbial safety |
en |
| dc.subject.other |
Microbial spoilage |
en |
| dc.subject.other |
Prediction model |
en |
| dc.subject.other |
Predictive micro-biology |
en |
| dc.subject.other |
Predictive modeling |
en |
| dc.subject.other |
Safety tertiary model |
en |
| dc.subject.other |
Shelf life |
en |
| dc.subject.other |
Simulation model |
en |
| dc.subject.other |
Static temperature |
en |
| dc.subject.other |
Temperature conditions |
en |
| dc.subject.other |
Temperature models |
en |
| dc.subject.other |
Accident prevention |
en |
| dc.subject.other |
Computer simulation |
en |
| dc.subject.other |
Decision support systems |
en |
| dc.subject.other |
Food safety |
en |
| dc.subject.other |
Food storage |
en |
| dc.subject.other |
Forecasting |
en |
| dc.subject.other |
Mathematical models |
en |
| dc.subject.other |
Microorganisms |
en |
| dc.subject.other |
Spoilage |
en |
| dc.subject.other |
decision support system |
en |
| dc.subject.other |
empirical analysis |
en |
| dc.subject.other |
food safety |
en |
| dc.subject.other |
growth rate |
en |
| dc.subject.other |
microorganism |
en |
| dc.subject.other |
numerical model |
en |
| dc.subject.other |
observational method |
en |
| dc.subject.other |
software |
en |
| dc.subject.other |
temperature effect |
en |
| dc.subject.other |
uncertainty analysis |
en |
| dc.title |
Development and validation of a tertiary simulation model for predicting the growth of the food microorganisms under dynamic and static temperature conditions |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1016/j.compag.2011.01.013 |
en |
| heal.publicationDate |
2011 |
en |
| heal.abstract |
The use of predictive modeling software may markedly contribute to the better understanding of the microbial behavior in foods. In this paper, the development and validation of a tertiary model, which provides predictions of microbial growth in foods under dynamic or static temperature conditions, is presented. In particular, the UGPM (Unified Growth Prediction Model) software applies the Baranyi and Roberts (1994) primary model, coupled to a secondary temperature model, in order to simulate growth of a given microorganism during storage of a specific food or food category. The software, intended to be used by both expert and non-expert users, may be a valuable decision support tool for the food industry, by assisting in the management of foods based on their actual shelf-life and microbial safety, thereby limiting the deterministic ""best-by"" practice for the determination of shelf-life. The latter is commonly based solely on empirical observations and has high uncertainty. This in turn, may result in the rejection of large quantities of unspoiled or safe foods, or even in the distribution of spoiled and unsafe foods, due to ignorance of the effect of temperature abuse on the microbial spoilage and safety of products. © 2011 Elsevier B.V. |
en |
| heal.journalName |
Computers and Electronics in Agriculture |
en |
| dc.identifier.issue |
1 |
en |
| dc.identifier.volume |
76 |
en |
| dc.identifier.doi |
10.1016/j.compag.2011.01.013 |
en |
| dc.identifier.spage |
119 |
en |
| dc.identifier.epage |
129 |
en |