Software programs to increase the utility of predictive microbiology information

Modeling Microbial Responses in Food

Volumn , Issue , 2003, Pages 233-242

  Tamplin, Mark ^a   Baranyi, József ^b   Paoli, Greg ^c  

^a EASTERN REGIONAL RESEARCH CENTER   (United States)

^b NORWICH RESEARCH PARK   (United Kingdom)

^c Decisionalysis Risk Consultants Inc   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33751280290     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (14)

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2. aranyi, J. and Tamplin, M.L. 2002. ComBase: a combined database on microbial responses to food environments. 1st International Conference on Microbial Risk Assessment: Foodborne Hazards. College Park, MD, p. 23.
3. Buchanan, R.L. 1993. Developing and distributing user-friendly application software. J. Ind. Microbiol. 12:251-255.
4. Crawford-Brown, D. 2001. Expert system for waterborne pathogens. Presented at workshop, “Decision-Support Tools for Microbial Risk Assessment” at the Society for Risk Analysis Annual Meeting, Seattle, WA.
5. Juneja, V.K., Novak, J.S., Marks, H.M., and Gombas, D.E. 2001. Growth of Clostridium perfringens from spore inocula in cooked cured beef: development of a predictive model. Innovative Food Sci. Emerging Technol. 2:289-301.
6. Juneja, V.K. and Marks, H.M. 2002. Predictive model for growth of Clostridium perfringens during cooling of cooked cured chicken. Food Microbiol. 19:313-3297.
7. McClure, P.J., Blackburn, C. de W., Cole, M.B., Curtis, P.S., Jones, J.E., Legan, J.D., Ogden, I.D., Peck, M.W., Roberts, T.A., Sutherland, J.P., and Walker, S.J. 1994. Modelling the growth, survival and death of microorganisms in foods: the UK Food Micromodel approach. Int. J. Food Microbiol. 23:265-275.
8. Oscar, T.P. 1999. Response surface models for effects of temperature, pH, and previous growth pH on growth kinetics of Salmonella typhimurium in brain heart infusion broth. J. Food Prot. 62:106-111.
9. Paoli, G. 2001. Prospects for expert system support in the application of predictive microbiology. Presented at workshop, “Decision-Support Tools for Microbial Risk Assessment” at the Society for Risk Analysis Annual Meeting, Seattle, WA.
10. Schellekens, M., Martens, T., Roberts, T.A., Mackey, B.M., Nicolai, M.B., Van Impe, J.F., and De Baerdemaeker, J. 1994. Computer-aided microbial safety design of food processes. Int. J. Food Microbiol. 24:1-9.
11. van Gerwen, S.J.C., te Giffel, M.C., Van’t Riet, K., Beumer, R.R, and Zwietering, M.H. 2000. Stepwise quantitative risk assessment as a tool for characterization of microbiological safety. J. Appl. Microbiol. 88:938-951.
12. Voyer, R. and McKellar, R.C. 1993. MKES tools: a microbial kinetics expert system for developing and assessing food production systems. J. Ind. Microbiol. 12:256-262.
13. Wijtes, T., Van’t Riet, K., in’t Veld, J.H.J., and Zwietering, M.H. 1998. A decision support system for the prediction of microbial food safety and food quality. Int. J. Food Microbiol. 42:79-90.
14. Zwietering, M.H., Wijtzes, T., Wit, J.C. de, and Van’t Riet, K. 1992. A decision support system for prediction of the microbial spoilage in foods. J. Food Prot. 55:973-979.