Inactivation model equations and their associated parameter values obtained under static acid stress conditions cannot be used directly for predicting inactivation under dynamic conditions

International Journal of Food Microbiology

Volumn 128, Issue 1, 2008, Pages 136-145

  Janssen, M ^a   Verhulst, A ^a   Valdramidis, V ^a   Devlieghere, F ^b   Van Impe, J F ^a   Geeraerd, A H ^c  

^a Department of Chemical Engineering   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

^c UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Dynamic modeling; Lactic acid; Microbial inactivation; Model prediction; Predictive microbiology; Weibull type model

Indexed keywords

LACTIC ACID;

ACIDITY; ARTICLE; BACTERIAL GROWTH; CELL POPULATION; CONTROLLED STUDY; LISTERIA INNOCUA; MICROBIOLOGICAL PARAMETERS; MOLECULAR DYNAMICS; NONHUMAN; PH MEASUREMENT;

COLONY COUNT, MICROBIAL; FOOD MICROBIOLOGY; FOOD PRESERVATIVES; HYDROGEN-ION CONCENTRATION; KINETICS; LACTIC ACID; LISTERIA; MODELS, BIOLOGICAL; PREDICTIVE VALUE OF TESTS;

LISTERIA INNOCUA;

EID: 54049120975     PISSN: 01681605     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijfoodmicro.2008.06.009     Document Type: Article

References (35)

1. Albert I., and Mafart P. A modified Weibull model for bacterial inactivation. International Journal of Food Microbiology 100 (2005) 197-211
2. Baranyi J., Jones A., Walker C., Kaloti A., Robinson T.P., and Mackey B.M. A combined model for growth and subsequent thermal inactivation of Brochothrix thermosphacta. Applied and Environmental Microbiology 62 3 (1996) 1029-1035
3. Baranyi J., Ross T., McMeekin T.A., and Roberts T.A. Effects of parameterization on the performance of empirical models used in 'predictive microbiology'. Food Microbiology 13 (1996) 83-91
4. Bernaerts K., Dens E., Vereecken K., Geeraerd A.H., Standaert A.R., Devlieghere F., Debevere J., and Van Impe J.F. Concepts and tools for predictive modeling of microbial dynamics. Journal of Food Protection 67 9 (2004) 2041-2052
5. Campanella O.H., and Peleg M. Theoretical comparison of a new and the traditional method to calculate Clostridium botulinum survival during thermal inactivation. Journal of the Science of Food and Agriculture 81 (2001) 1069-1076
6. Cheroutre-Vialette M., and Lebert A. Modelling the growth of Listeria monocytogenes in dynamic conditions. International Journal of Food Microbiology 55 (2000) 201-207
7. Coroller L., Leguerinel I., Mettler E., Savy N., and Mafart P. General model, based on two mixed Weibull distributions of bacterial resistance, for describing various shapes of inactivation curves. Applied and Environmental Microbiology 72 10 (2006) 6493-6502
8. Davidson P.M., and Harrison M.A. Microbial adaptation to stresses by food preservatives. In: Yousef A.E., and Juneja V.K. (Eds). Microbial stress adaptation and food safety (2003), CRC Press, Boca Raton, Florida. 1-56676-912-4 55-74 Ch. 3
9. Gandhi M., and Chikindas M.L. Listeria: a foodborne pathogen that knows how to survive. International Journal of Food Microbiology 113 1 (2007) 1-15
10. Geeraerd A.H., Herremans C.H., and Van Impe J.F. Structural model requirements to describe microbial inactivation during a mild heat treatment. International Journal of Food Microbiology 59 (2000) 185-209
11. Gómez N., García D., Álvarez I., Condón S., and Raso J. Modelling inactivation of Listeria monocytogenes by pulsed electric fields in media of different pH. International Journal of Food Microbiology 103 (2005) 199-206
12. Holzapfel W.H., Geisen R., and Schillinger U. Biological preservation of foods with reference to protective cultures, bacteriocins and food-grade enzymes. International Journal of Food Microbiology 24 (1995) 343-362
13. Janssen M., Geeraerd A.H., Cappuyns A., Garcia-Gonzalez L., Schockaert G., Van Houteghem N., Vereecken K.M., Debevere J., Devlieghere F., and Van Impe J.F. Individual and combined effects of pH and lactic acid concentration on Listeria innocua inactivation: development of a predictive model and assessment of experimental variability. Applied and Environmental Microbiology 73 5 (2007) 1601-1611
14. Janssen M., Verhulst A., Valdramidis V., Devlieghere F., Van Impe J.F., and Geeraerd A.H. Simulation intricacies associated with a Weibull-type model, developed based on microbial inactivation experiments under static conditions, when applied under dynamic conditions. In: Nychas G.J.E., Taoukis P., Koutsoumanis K., Van Impe J.F., and Geeraerd A.H. (Eds). 5th International Conference Predictive Modelling in Foods - Conference Proceedings (2007), Agricultural University of Athens, Athens (Greece) 27-30
15. Lund B.M., and Eklund T. Control of pH and use of organic acids. In: Lund B.M., Baird-Parker T.C., and Gould G.W. (Eds). The Microbiological Safety and Quality of Food I (2000), Aspen Publishers, Inc., Gaithersburg, Maryland. 0-8342-1323-0 175-199 Ch. 8
16. Mafart P., Couvert O., Gaillard S., and Leguerinel I. On calculating the sterility in thermal preservation methods: application of the Weibull frequency distribution model. International Journal of Food Microbiology 72 (2002) 107-113
17. Mañas P., Pagán R., Alvarez I., and Condón Usón S. Survival of Salmonella senftenberg 775W to current liquid whole egg pasteurization treatments. Food Microbiology 20 (2003) 593-600
18. Mattick K.L., Legan J.D., Humphrey T.J., and Peleg M. Calculating Salmonella inactivation in nonisothermal heat treatments from isothermal nonlinear survival curves. Journal of Food Protection 64 5 (2001) 606-613
19. McMeekin T.A., Olley J.N., Ross T., and Ratkowsky D.A. Predictive Microbiology: Theory and Application (1993), John Wiley and Sons Inc., New York. 0-471-93545-X
20. Mossel D.A.A., Corry J.E.L., Struijk C.B., and Baird R.M. Essentials of the Microbiology of Foods: a Textbook for Advanced Studies (1995), John Wiley & Sons. 0-471-93036-9
21. Neter J., Kutner M.H., Nachtsheim C.J., and Wasserman W. Applied Linear Statistical Models. 4th ed. (1996), The McGraw-Hill Companies, Boston, Massachusetts. 0-256-11736-5
22. Peleg M. Calculation of the nonisothermal inactivation patterns of microbes having sigmoidal isothermal semi-logarithmic survival curves. Critical Reviews in Food Science and Nutrition 43 6 (2003) 645-658
23. Peleg M., and Cole M. Reinterpretation of microbial survival curves. Critical Reviews in Food Science 38 5 (1998) 353-380
24. Peleg M., and Penchina C.M. Modeling microbial survival during exposure to a lethal agent with varying intensity. Critical Reviews in Food Science and Nutrition 40 2 (2000) 159-172
25. Peleg M., Penchina C.M., and Cole M.B. Estimation of the survival curve of Listeria monocytogenes during nonisothermal heat treatments. Food Research International 34 (2001) 383-388
26. Peleg M., Normand M.D., and Corradini M.G. Generating microbial survival curves during thermal processing in real time. Journal of Applied Microbiology 98 (2005) 406-417
27. Rowbury R.J. Physiology and molecular basis of stress adaptation, with particular reference to the subversion of stress adaptation and to the involvement of extracellular components in adaptation. In: Yousef A.E., and Juneja V.K. (Eds). Microbial Stress Adaptation and Food Safety (2003), CRC Press, Boca Raton, Florida. 1-56676-912-4 247-302 Ch. 8
28. Valdramidis V.P., Geeraerd A.H., Bernaerts K., and Van Impe J.F. Microbial dynamics versus mathematical model dynamics: the case of microbial heat resistance induction. Innovative Food Science and Emerging Technologies 7 (2006) 80-87
29. Valdramidis V., Geeraerd A.H., and Van Impe J.F. Stress-adaptive responses by heat under the microscope of predictive microbiology. Journal of Applied Microbiology 103 5 (2007) 1922-1930
30. van Boekel M.A.J.S. On the use of the Weibull model to describe thermal inactivation of microbial vegetative cells. International Journal of Food Microbiology 74 (2002) 139-159
31. Van Impe J.F., Nicolaï B.M., Martens T., Baerdemaeker J.D., and Vandewalle J. Dynamic mathematical model to predict microbial growth and inactivation during food processing. Applied and Environmental Microbiology 58 9 (1992) 2901-2909
32. Vereecken, K.M., 2002. Predictive Microbiology for Multiple Species Systems: Design and Validation of a Model for Lactic Acid Induced Interaction in Complex Media. Ph.D. Thesis, Faculty of Applied Sciences. Katholieke Universiteit Leuven. Belgium.
33. Vermeiren L., Devlieghere F., and Debevere J. Evaluation of meat born lactic acid bacteria as protective cultures for the biopreservation of cooked meat products. International Journal of Food Microbiology 96 (2004) 149-164
34. Vescovo M., Scolari G., and Zacconi C. Inhibition of Listeria innocua growth by antimicrobial-producing lactic acid cultures in vacuum-packed cold-smoked salmon. Food Microbiology 23 (2006) 689-693
35. Yousef A.E., and Juneja V.K. Microbial Stress Adaptation and Food Safety (2003), CRC Press, Boca Raton