Probabilistic modelling of Aspergillus growth

Advances in Experimental Medicine and Biology

Volumn 571, Issue , 2005, Pages 287-306

  Palou, Enrique ^a   López Malo, Aurelio ^a  

^a UNIVERSIDAD DE LAS AMÉRICAS PUEBLA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIINFECTIVE AGENT; BENZOIC ACID; VANILLIN; BENZALDEHYDE DERIVATIVE; WATER;

ASPERGILLUS FLAVUS; ASPERGILLUS OCHRACEUS; ASPERGILLUS PARASITICUS; CONFERENCE PAPER; DRUG BLOOD LEVEL; FACTORIAL DESIGN; FUNGUS GROWTH; INCUBATION TEMPERATURE; LABORATORY; NONHUMAN; PH; PRIORITY JOURNAL; STATISTICAL MODEL; ARTICLE; ASPERGILLUS; BACTERIAL COUNT; BIOLOGICAL MODEL; DOSE RESPONSE; FOOD CONTROL; GROWTH, DEVELOPMENT AND AGING; METABOLISM; TEMPERATURE;

ASPERGILLUS;

ASPERGILLUS; BENZALDEHYDES; COLONY COUNT, MICROBIAL; DOSE-RESPONSE RELATIONSHIP, DRUG; FOOD MICROBIOLOGY; HYDROGEN-ION CONCENTRATION; MODELS, BIOLOGICAL; TEMPERATURE; WATER;

EID: 33644817346     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (40)

1. Alavi, S. H., Puri, V. M., Knabel, S. J., Mohtar, R. H., and Whiting, R. C., 1999, Development and validation of a dynamic growth model for Listeria monocytogenes in fluid whole milk, J. Food Prot. 62:170-176.
2. Alzamora, S.M., and López-Malo, A., 2002, Microbial behavior modeling as a tool in the design and control of minimally processed foods, in: Engineering and Food for the 21st Century, J. Welti-Chanes, G. V. Barbosa-Canovas, and J. M. Aguilera, eds, CRC Press, Boca Raton, FL, pp. 631-650.
3. Baranyi, J., and Roberts, T. A., 1994, A dynamic approach to predicting bacterial growth in food. Int. J. Food Microbiol. 23:277-294.
4. Bolton, L. F., and Frank, J. F., 1999, Defining the growth/no growth interface for Listeria monocytogenes in Mexican-style cheese based on salt, pH and moisture content, J. Food Prot. 62:601-609.
5. Cole, M. B., Franklin, J. G., and Keenan, M. H. J., 1987. Probability of growth of the spoilage yeast Zygosaccharomyces bailii in a model fruit drink system. Food Microbiol. 4:115-119.
6. Cuppers, H. G. M., Oomes, S., and Brul, S., 1997, A model for the combined effects of temperature and salt concentration on growth rate of food spoilage moulds, Appl. Environ. Microbiol. 63:3764-3769.
7. Gibson, A. M., Baranyi, J., Pitt, J. I., Eyles, M. J., and Roberts, T. A., 1994, Predicting fungal growth: effect of water activity on Aspergillus flavus and related species, Int. J. Food Microbiol. 23:419-431.
8. Gould, G. W., 1989, Mechanisms of Action of Food Preservation Procedures, Elsevier, London.
9. Hosmer, D. W., and Lemeshow, S., 1989, Applied Logistic Regression, John Wiley and Sons, New York, p. 307.
10. ICMSF (International Commission on the Microbiological Specifications for Foods), 1980, Microbial Ecology of Foods, Vol. 1. Factors Affecting Life and Death of Microorganisms. ICMSF, Academic Press, New York.
11. Lanciotti, R., Sinigaglia, M., Gardini, F., Vannini, L., and Guerzoni, M. E., 2001, Growth/no growth interfaces of Bacillus cereus, Staphylococcus aureus and Salmonella enteritidis in model systems based on water activity, pH, temperature and ethanol concentration, Food Microbiol. 18:659-668.
12. Leistner, L., 1985, Hurdle technology applied to meat products of shelf stable and intermediate moisture food types, in: Properties of Water in Foods in Relation to Quality and Stability, D. Simatos, and J. L. Multon, ed., Martinus Nihof Publishers, Dordrecht, The Netherlands, pp. 309-329.
13. López-Malo, A., and Palou E., 2000a, Growth/no growth interface of Zygosaccharomyces bailii as a function of temperature, water activity, pH, potassium sorbate and sodium benzoate concentration, Presented at Predictive Modeling in Foods, Leuven, Belgium, September 12-15.
14. López-Malo, A., and Palou E., 2000b, Modeling the growth/no growth interface of Zygosaccharomyces bailii in mango puree, J. Food Sci. 65:516-520.
15. López-Malo, A., Alzamora, S. M., Argaiz, A., 1998, Vanillin and pH synergistic effects on mold growth, J. Food Sci. 63:143-146.
16. López-Malo, A., Guerrero, S., and Alzamora, S. M., 2000, Probabilistic modeling of Saccharomyces cerevisiae inhibition under the effects of water activity, pH and potassium sorbate, J. Food Prot. 63:91-95.
17. López-Malo, A., Palou, E., and Argaiz, A., 1993, Medición de la actividad de agua con un equipe electrónico basado en el punto de rocío, Informatión Tecnológica. 4(6):33-37.
18. Masana, M. O., and Baranyi, J., 2000a, Adding new factors to predictive models: the effect on the risk of extrapolation, Food Microbiol. 17:367-374.
19. Masana, M. O., and Baranyi, J., 2000b, Growth/no growth interface of Brochothrix thermosphacta as a function of pH and water activity, Food Microbiol. 17:485-493.
20. McMeekin, T. A., Olley, J., Ross, T., and Ratkowsky, D. A., 1993, Predictive Microbiology: Theory and Application, Research Studies Press, Tauton, UK.
21. McMeekin, T. A., Presser, K., Ratkowsky, D. A., Ross, T., Salter, M., and Tienungoon, S., 2000, Quantifying the hurdle concept by modelling the growth/no growth interface. A review, Int. J. Food Microbiol. 55:93-98.
22. McMeekin, T. A., Ross, T., and Olley, J., 1992, Application of predictive microbiology to assure the quality and safety of fish and fish products, Int. J. Food Microbiol. 15:13-32.
23. Montgomery, D. C., 1984, Design and Analysis of Experiments, John Wiley and Sons, New York.
24. Palou, E., and López-Malo, A., 2004, Growth/no-growth interface modeling and emerging technologies, in: Novel Food Processing Technologies, G. V. Barbosa-Canovas, M. S. Tapia, and P. Cano, eds, Marcel Dekker, New York, pp. 629-651.
25. Pitt, J. I., 1989, Food mycology - an emerging discipline, Soc: Appl. Bacteriol Symp. Suppl. 1989:1S-9S.
26. Pitt, J. I., and Hocking, A. D., 1977, Influence of solute and hydrogen ion concentration on the water relations of some xerophilic fungi, J. Gen. Microbiol. 101:35-40.
27. Pitt, J. I., and Miscamble, B. F., 1995, Water relations of Aspergillus flavus and closely related species, J. Food Prot. 58:86-90.
28. Presser, K. A., Ross, T., and Ratkowsky, D. A., 1998, Modelling of the growth limits (growth/no-growth) of Escherichia coli as a function of temperature, pH, lactic acid concentration, and water activity, Appl. Environ. Microbiol. 64:1773-1779.
29. Ratkowsky, D. A., and Ross, T., 1995, Modelling the bacterial growth/no-growth interface, Lett. Appl. Microbiol. 20:29-33.
30. Ratkowsky, D. A., 1993, Principles of modelling, J. Indust. Microbiol. 12:195-199.
31. Ratkowsky, D. A., Ross, T., McMeekin, T. A., and Olley, J., 1991, Comparison of Arrhenius-type and Belehradek-type models for prediction of bacterial growth in foods, J. Appl. Bacteriol. 71:452-459.
32. Ross, T., and McMeekin, T. A., 1994, Predictive microbiology, Int. J. Food Microbiol. 23:241-264.
33. Rosso, L., and Robinson, T. P., 2001, Cardinal model to describe the effect of water activity on the growth of moulds, Int. J. Food Microbiol. 63:265-273.
34. Salter, M. A., Ratkowsky, D. A., Ross, T., and McMeekin, T. A., 2000, Modelling the combined temperature and salt (NaCl) limits for growth of a pathogenic Escherichia coli strain using nonlinear logistic regression, Int. J. Food Microbiol. 61:159-167
35. Samson, R. A., 1989, Filamentous fungi in food and feed, Soc. Appl. Bacteriol. Symp. Suppl. 1989:27S-35S.
36. Schaffner, D. W., and Labuza, T. P., 1997, Predictive microbiology: where are we, and where are we going?, Food Technol. 51:95-99.
37. Smith, J. E., and Moss, M. O., 1985, Mycotoxins, Formation, Analysis and Significance, John Wiley and Sons, Chichester, UK.
38. Tienungoon, S., Ratkowsky, D. A., McMeekin, T. A., and Ross, T., 2000, Growth limits of Listeria monocytogenes as a function of temperature, pH, NaCl, and lactic acid, Appl. Environ. Microbiol. 11:4979-4987.
39. Valik, L., Baranyi, J., and Gorner, F., 1999, Predicting fungal growth: the effect of water activity on Penicillium roqueforti, Int. J. Food Microbiol. 47:141-146.
40. Whiting, R. C., and Call, J. E., 1993, Time of growth model for proteolytic Clostridium botulinum, Food Microbiol. 10:295-301.