Seafood Spoilage Predictor—development and distribution of a product specific application software
- 1 March 2002
- journal article
- Published by Elsevier BV in International Journal of Food Microbiology
- Vol. 73 (2-3), 343-349
- https://doi.org/10.1016/s0168-1605(01)00670-5
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Comparison of maximum specific growth rates and lag times estimated from absorbance and viable count data by different mathematical modelsJournal of Microbiological Methods, 2000
- Application of a systematic experimental procedure to develop a microbial model for rapid fish shelf life predictionsInternational Journal of Food Microbiology, 2000
- Cooked and brined shrimps packed in a modified atmosphere have a shelf‐life of >7 months at 0 °C, but spoil in 4–6 days at 25 °CInternational Journal of Food Science & Technology, 2000
- Application of an iterative approach for development of a microbial model predicting the shelf-life of packed fishInternational Journal of Food Microbiology, 1997
- Development of a predictive model to describe the effects of temperature and water activity on the growth of spoilage pseudomonadsInternational Journal of Food Microbiology, 1997
- Use of response surface models to predict bacterial growth from time/temperature historiesFood Control, 1996
- Modelling of microbial activity and prediction of shelf life for packed fresh fishInternational Journal of Food Microbiology, 1995
- Modelling the growth, survival and death of microorganisms in foods: the UK Food Micromodel approachInternational Journal of Food Microbiology, 1994
- Developing and distributing user-friendly application softwareJournal of Industrial Microbiology & Biotechnology, 1993
- Predicting the shelf life of packaged fish from conductance measurementsJournal of Applied Bacteriology, 1985