A review on growth/no growth Salmonella models

作者: Elena Carrasco , Susana del Rosal , Juan Carlos Racero , Rosa María García-Gimeno

DOI: 10.1016/J.FOODRES.2012.01.006

关键词:

摘要: Abstract “Hurdle technology” is a worldwide technique of food preservation based on the application combination generally mild treatments which act as “obstacles” that microflora must overcome to start grow. Then, bacteria invest their energy in trying maintain homeostatic equilibrium instead multiplying. While action mechanisms underlying these are not fully understood, it very useful know effect cells well extension such effects. Growth/no growth models have been developed offer response this need. A review growth/no microbial modeling presented paper, addressing most important factors and approaches employed. Five Salmonella published period 2001–2011 reviewed, boundary regions were represented (Temperature vs pH) at two water activity values (0.983 0.990) cut-off probabilities (0.1 0.5). With illustration, picture relative grade conservatism five provided. Additionally, predictive tools microbiology (or tertiary models), including software for (Microbial Responses Viewer), commented. Finally, some caveats addressed future research.

参考文章(53)
JÓZSEF BARANYI, MARK L. TAMPLIN, ComBase: a common database on microbial responses to food environments. Journal of Food Protection. ,vol. 67, pp. 1967- 1971 ,(2004) , 10.4315/0362-028X-67.9.1967
KONSTANTINOS P. KOUTSOUMANIS, PATRICIA A. KENDALL, JOHN N. SOFOS, Modeling the Boundaries of Growth of Salmonella Typhimurium in Broth as a Function of Temperature, Water Activity, and pH Journal of Food Protection. ,vol. 67, pp. 53- 59 ,(2004) , 10.4315/0362-028X-67.1.53
A VALERO, C HERVAS, R GARCIAGIMENO, G ZURERA, Product unit neural network models for predicting the growth limits of Listeria monocytogenes Food Microbiology. ,vol. 24, pp. 452- 464 ,(2007) , 10.1016/J.FM.2006.10.002
Jorge Chirife, María del Pilar Buera, Theordore P. Labuza, Water activity, water glass dynamics, and the control of microbiological growth in foods. Critical Reviews in Food Science and Nutrition. ,vol. 36, pp. 465- 513 ,(1996) , 10.1080/10408399609527736
DA Ratkowsky, T Ross, TA McMeekin, J Olley, None, Comparison of Arrhenius‐type and Bêlehrádek‐type models for prediction of bacterial growth in foods Journal of Applied Microbiology. ,vol. 71, pp. 452- 459 ,(1991) , 10.1111/J.1365-2672.1991.TB03816.X
Carmen Pin, Gaspar Avendaño-Perez, Elena Cosciani-Cunico, Natalia Gómez, Antonia Gounadakic, George-John Nychas, Panos Skandamis, Gary Barker, Modelling Salmonella concentration throughout the pork supply chain by considering growth and survival in fluctuating conditions of temperature, pH and a(w). International Journal of Food Microbiology. ,vol. 145, ,(2011) , 10.1016/J.IJFOODMICRO.2010.09.025
József Baranyi, Terry A. Roberts, A dynamic approach to predicting bacterial growth in food International Journal of Food Microbiology. ,vol. 23, pp. 277- 294 ,(1994) , 10.1016/0168-1605(94)90157-0