한국축산식품학회지 (Food Science of Animal Resources)

  • 제30권5호
  • /
  • Pages.730-738
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  • 2010
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  • 2636-0772(pISSN)
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  • 2636-0780(eISSN)
한국축산식품학회 (Korean Society for Food Science of Animal Resources)
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Development of Predictive Growth Models for Staphylococcus aureus and Bacillus cereus on Various Food Matrices Consisting of Ready-to-Eat (RTE) Foods

  • Kang, Kyung-Ah (Department of Food and Nutrition, Research Institute of Human Ecology, Kyung Hee University) ;
  • Kim, Yoo-Won (Department of Food and Nutrition, Research Institute of Human Ecology, Kyung Hee University) ;
  • Yoon, Ki-Sun (Department of Food and Nutrition, Research Institute of Human Ecology, Kyung Hee University)
  • 투고 : 2010.05.30
  • 심사 : 2010.09.14
  • 발행 : 2010.10.31
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초록

We developed predictive growth models for Staphylococcus aureus and Bacillus cereus on various food matrices consisting primarily of ready-to-eat (RTE) foods. A cocktail of three S. aureus strains, producing enterotoxins A, C, and D, or a B. cereus strain, were inoculated on sliced bread, cooked rice, boiled Chinese noodles, boiled bean sprouts, tofu, baked fish, smoked chicken, and baked hamburger patties at an initial concentration of 3 log CFU/g and stored at 8, 10, 13, 17, 24, and $30^{\circ}C$. Growth kinetic parameters were determined by the Gompertz equation. The square-root and Davey models were used to determine specific growth rate and lag time values, respectively, as a function of temperature. Model performance was evaluated based on bias and accuracy factors. S. aureus and B. cereus growth were most delayed on sliced bread. Overall, S. aureus growth was significantly (p<0.05) more rapid on animal protein foods than carbohydrate-based foods and vegetable protein foods. The fastest growth of S. aureus was observed on smoked chicken. B. cereus growth was not observed at 8 and $10^{\circ}C$. B. cereus growth was significantly (p<0.05) more rapid on vegetable protein foods than on carbohydrate-based foods. The secondary models developed in this study showed suitable performance for predicting the growth of S. aureus and B. cereus on various food matrices consisting of RTE foods.

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참고문헌

  1. Abou-Zeid, K. A., Oscar, T. P., Schwarz, J. G., Hashem, F. M., Whiting, R. C., and Yoon, K. S. (2009) Development and validation of a predictive model for Listeria monocytogenes scott a as a function of temperature, pH and commercial mixture of potassium lactate and sodium diacetate. J. Microbiol. Biotechnol. 19, 718-726. https://doi.org/10.4014/jmb.0809.534
  2. Atanassova, V., Meindl, A., and Ring, C. (2001) Prevalence of Staphylococcus aureus and staphylococcal enterotoxins in raw pork and uncooked smoked ham - a comparison of classical culturing detection and RFLP-PCR. Int. J. Food Microbiol. 68, 105-113. https://doi.org/10.1016/S0168-1605(01)00479-2
  3. Buchanan, R. L. and Phillips, J. G. (1990) Response surface model for predicting the effects of temperature, pH, sodium chloride content, sodium nitrite concentration and atmosphere on the growth of Listeria monocytogenes. Int. J. Food Prot. 53, 370-376.
  4. Carlin, F., Fricker, M., Pielaat, A., heisterkamp, S., Shageen, R., Salonen, M. S., Svensson, B., Nguyen-the, C., and Mpnika, E. S. (2006) Emetic toxin-producing strains of Bacillus cereus show distinct characteristics within the Bacillus cereus group. Int. J. Food Microbiol. 109, 132-138. https://doi.org/10.1016/j.ijfoodmicro.2006.01.022
  5. Davey, K. R. (1989) A predictive model for combined temperature and water activity on microbial growth during the growth phase. J. Appl. Bacteriol. 67, 483-488. https://doi.org/10.1111/j.1365-2672.1989.tb02519.x
  6. Fujikawa, H. and Morozumi, S. (2006) Modeling Staphylococcus aureus growth and enterotoxin production in milk. Food Microbiol. 23, 260-267. https://doi.org/10.1016/j.fm.2005.04.005
  7. Gibson, A. M., Bratchell, N., and Roberts, T. A. (1987) The effect of sodium chloride and temperature on the rate and extent of growth Clostridium botulinum type A in pasteurized pork slurry. J. App. Bacteriol. 62, 479-490. https://doi.org/10.1111/j.1365-2672.1987.tb02680.x
  8. Gibson, A. M., Bratchell, N., and Roberts, T. A. (1988) Predicting microbial growth: growth responses of Salmonella in a laboratory medium as affected by pH, sodium chloride, and storage temperature. Int. J. Food Microbiol. 6, 155-178. https://doi.org/10.1016/0168-1605(88)90051-7
  9. Granum, P. E. (1994) Bacillus cereus and its toxins. J. Appl. Bacteriol. 76 Sppl, S61-S66. https://doi.org/10.1111/j.1365-2672.1994.tb04358.x
  10. Hiraki, J., Hatakeyama, M., Morita, H., Izumi, Y. (1998) Improved $\varepsilon$-poly-1-lysine production of an S-(20aminoethyl)-1- cysteine resistant mutant of Streptomyces albulus. Seibutsu-Kogaku. 76, 487-493.
  11. Johnson, K. M. (1984) Bacillus cereus food borne illness-an update. J. Food Prot. 47, 145-153.
  12. Kim, J. Y., Kwon, I. K., Ha, S. Y., and Hong, C. H. (2005) Changes of contamination level of Listeria spp. During the proceeding environments in kimbab restaurants. J. Food Hygiene and Safety. 20, 232-236.
  13. Leyer, G. J. and Johnson, E. A. (1993) Acid adaptation induces cross protection against environmental stresses in Salmonella Typhimurium. Appl. Environ. Microbiol. 59, 1842-1847.
  14. Oscar, T. P. (2002) Development and validation of a tertiary simulation model for predicting the potential growth of Salmonella Typhimurium on cooked chicken. Int. J. Food Microbiol. 76, 177-190. https://doi.org/10.1016/S0168-1605(02)00025-9
  15. Oscar, T. P. (2005). Validation of lag time and growth rate models for Salmonella Typhimurium: acceptable prediction zone method. J. Food Sci. 70, M129-M137. https://doi.org/10.1111/j.1365-2621.2005.tb07103.x
  16. Park, S. Y., Choi, J. W., Yeon, J. H., Lee, M. J., Oh, D. H., and Hong, C. H. (2005) Assessment of contamination level of foodborne pathogens isolated in kimbab and its main ingredients in the process of preparation. Korean J. Food Sci. Technol. 37, 122-128.
  17. Pepe, O., Blaiotta, G., Bucci, F., Anastasio, M., Aponte, M., and Villani, F. (2006) Staphylococcus aureus and staphylococcal enterotoxin A in breaded chicken products: detection and behavior during the cooking process. Appl. Environ. Microbiol. 72, 7057-7062. https://doi.org/10.1128/AEM.00198-06
  18. Ratkowsky, D. A., Olley, J., McMeekin, T. A., and Ball, A. (1982) Relation between temperature and growth rate of bacteria cultures. J. Bacteriol. 149, 1-5.
  19. Ross, T. (1996) Indices for performance evaluation of predictive models in food microbiology. J. Appl. Bacteriol. 81, 501-508.
  20. Sidonia, M., Ruben, B., Inmaculada, F., and Javier, C. (2007) Effect of environmental parameters on growth kinetics of Bacillus cereus(ATCC 7004) after mild heat treatment. Int. J. Food Microbiol. 117, 223-227.
  21. Simon, S. S. and Sanjeev, S. (2007) Prevalence of enterotoxigenic Staphylococcus aureus in fishery products and fish processing factory workers. Food Control. 18, 1565-1568. https://doi.org/10.1016/j.foodcont.2006.12.007
  22. Sneed, J., Strohbehn, C., Shirley, A. G., and Mendonca, J. (2004) Microbiological evaluation of foodservice contact surfaces in Iowa assisted-living facilities. J. Am. Diet. Assoc. 104, 1722-1724. https://doi.org/10.1016/j.jada.2004.08.026
  23. Soriano, J. M., Font, G., Molto, J. C., and Manes, J. (2002) Enterotoxigenic staphylococci and their toxins in restaurant foods. Trends Food Sci. Technol. 13, 60-67. https://doi.org/10.1016/S0924-2244(02)00030-4
  24. AOAC (1995) Association of Official Analytical Chemists methods.
  25. Hiraki, J., Suzuki, E., inventors; Chisso Corporation, assignee. (1999) Process for producing $\varepsilon$-polylysine with immobilized Streptomyces albulus. US patent, 5,900,363.
  26. Korea Food and Drug Administration (2008) The report of foodborne illness in Korea. Available from : http://e-stat.kfda.go.kr/
  27. Kramer, J. M. and Gilbert, R. J. (1989) Bacillus cereus and other Bacillus species. In: M.P. Doyle (ed) Foodborne Bacterial Pathogens, Marcel Dekker, Inc., New York, USA, pp. 21-70.
  28. Roberts, D. (1986) Factors contributing to outbreaks of foodborne infection and intoxicationin England and Wales 1970-1982. Proceedings of the 2nd World Congress Foodborne Infections and Intoxications. Institute of Veterinary Medicine, Berlin, pp. 157-159.
  29. Schultz, F. J. and Smith, J. L. (1994) Bacillus: recent advances in Bacillus cereus Food Poisoning Research. In: Hui, Y. H., Gorham, J. R., Murrell, K. D., Cliver, D. O. (Eds.), Foodborne Disease Handbook Diseases Caused by Bacteria. Marcel Dekker, Inc., New York, USA, pp. 29-62.

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  7. Modelling the effect of pH, sodium chloride and sodium pyrophosphate on the thermal resistance of Escherichia coli 0157:H7 in ground beef vol.75, 2015, https://doi.org/10.1016/j.foodres.2015.05.030
  8. Development of Mathematical Models to Predict Staphylococcus aureus Growth in Sauces under Constant and Dynamic Temperatures vol.19, pp.2, 2013, https://doi.org/10.3136/fstr.19.331
  9. Predictive model of Staphylococcus aureus growth on egg products vol.28, pp.3, 2010, https://doi.org/10.1007/s10068-018-0529-4
  10. Risk Comparison of the Diarrheal and Emetic Type of Bacillus cereus in Tofu vol.7, pp.11, 2010, https://doi.org/10.3390/microorganisms7110536
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  13. Isolation of Bacillus cereus from Soft Soybean Curd and the Kinetic Behavior of B. cereus Isolates at Changing Temperatures vol.84, pp.9, 2021, https://doi.org/10.4315/jfp-21-026
  14. Predictive modeling and probabilistic risk assessment of Clostridium perfringens in hamburgers and sandwiches vol.30, pp.13, 2010, https://doi.org/10.1007/s10068-021-01000-z