Quantitative Microbial Risk Assessment Model for Staphylococcus aureus in Kimbab

김밥에서의 Staphylococcus aureus에 대한 정량적 미생물위해평가 모델 개발

  • Bahk, Gyung-Jin (National Food Safety & Toxicology Center, Michigan State University) ;
  • Oh, Deog-Hwan (School of Biotechnology and Bioengineering, Kangwon National University) ;
  • Ha, Sang-Do (Department of Food Science and Technology, Chung-Ang University) ;
  • Park, Ki-Hwan (Department of Food Science and Technology, Chung-Ang University) ;
  • Joung, Myung-Sub (Korea Health Industry Development Institute) ;
  • Chun, Suk-Jo (Korea Health Industry Development Institute) ;
  • Park, Jong-Seok (Korea Food and Drug Administration) ;
  • Woo, Gun-Jo (Korea Food and Drug Administration) ;
  • Hong, Chong-Hae (Department of Veterinary Medicine, Kangwon National University)
  • Published : 2005.06.30


Quantitative microbial risk assessment (QMRA) analyzes potential hazard of microorganisms on public health and offers structured approach to assess risks associated with microorganisms in foods. This paper addresses specific risk management questions associated with Staphylococcus aureus in kimbab and improvement and dissemination of QMRA methodology, QMRA model was developed by constructing four nodes from retail to table pathway. Predictive microbial growth model and survey data were combined with probabilistic modeling to simulate levels of S. aureus in kimbab at time of consumption, Due to lack of dose-response models, final level of S. aureus in kimbeb was used as proxy for potential hazard level, based on which possibility of contamination over this level and consumption level of S. aureus through kimbab were estimated as 30.7% and 3.67 log cfu/g, respectively. Regression sensitivity results showed time-temperature during storage at selling was the most significant factor. These results suggested temperature control under $10^{\circ}C$ was critical control point for kimbab production to prevent growth of S. aureus and showed QMRA was useful for evaluation of factors influencing potential risk and could be applied directly to risk management.


quantitative microbial risk assessment (QMRA);Staphylococcus aureus;kimbab;exposure assessment;risk management


  1. FAO/WHO. Risk assessment of microbiological risk assessment. Report of the Joint FAO/WHO Expert Consultation, March 15-19, Geneva, Switzerland (1999)
  2. Vose DJ. The application of quantitative risk assessment to microbial food safety. J. Food Prot. 61: 640-648 (1998) https://doi.org/10.4315/0362-028X-61.5.640
  3. Korea Food and Drug Administration. Annual report of food-borne disease in Korea. Available from: http://www.kfda.co.kr. Accessed Dec. 3, 2004
  4. Hass NC, Rose JB, Gerba, CP. Quantitative microbial risk assessment. John Wily & Sons, Inc. NY, USA. pp. 324-327 (1999)
  5. Buchanan RL, James L, Smith WL. Microbial risk assessment: dose-response relations and risk characterization. Int. J. Food Microbiol. 58: 159-172 (2000) https://doi.org/10.1016/S0168-1605(00)00270-1
  6. Lindqvist R, Sylven S, Vagasolm I. Quantitative microbial risk assessment exemplified by Staphylococcus aureus in unripened cheese made from raw milk. Int. J. Food Microbiol. 78: 155-170 (2002) https://doi.org/10.1016/S0168-1605(02)00237-4
  7. Grockler L, Notermans S, Kramer J. Production of enterotoxins and thermonuclease by Staphylococcus aureus in cooked egg-noodles. Int. J. Food Microbiol. 6: 127-139 (1988) https://doi.org/10.1016/0168-1605(88)90049-9
  8. Otero A, Garcia MC, Garcia ML, Prieto M, Moreno B. Behaviour of Staphylococcus aureus strains, products of enterotoxin $C_1$, and $C_2$ during manufacture and storage of Burgos cheese. J. Appl. Bacteriol. 64: 117-112 (1988)
  9. FAO/WHO. Joint FAO/WHO Initiative on Microbial Risk Assessment. IAFP 88th Annual meeting, IAFP, Minneapolis, Minnesota, USA (2001)
  10. Kim DH, Song HP, Kim JK, Kim JO, Lee HJ, Byun MW. Determination of microbial contamination in the process of rice rolled in dried laver and improvement of shelf-life by gamma irradiation. J. Korean Soc. Food Sci. Nutr. 32: 991-996 (2003) https://doi.org/10.3746/jkfn.2003.32.7.991
  11. Buchanan RL, Smith JL, McColgan C, Maimer BS, Golden MH, Dell BJ. Response surface models for the effects of temperature, pH, sodium chloride, and sodium nitrite on the aerobic and anaerobic growth of Staphylococcus aureus 196E. J. Food Safty 13:159-175(1993) https://doi.org/10.1111/j.1745-4565.1993.tb00103.x
  12. Anunciacao LL, Linardi WR, do Camo LS, Bergdoll MS. Production of Staphylococcal enterotoxin A in cream-filled cake. Int. J. Food Microbiol. 26: 259-363 (1995) https://doi.org/10.1016/0168-1605(94)00122-M
  13. Jin SS, Bimal KK, Choi JH, Ha SD, Hong CH, Woo GJ, Oh DH. The growth of Staphylococcus aureus on kimbab at different temperature, p. 380. In: The current prospects of functional and medicinal food. Korean Society of Food Science and Nutrition, Jeju, Korea (2004)
  14. Bahk GJ. Trends of Microbial Risk Assessment, pp. 46-69. In: 2001 Symposium of Korean Society for HACCP Research. The Korean Society for HACCP Research, Seoul, Korea (2001)
  15. Dana MM, Lee J, Peggy MF. A quantitative risk assessment for Bacillus cereus emetic disease associated with the consumption of Chinese-style rice. J. Food safty 19:209-229 (1999) https://doi.org/10.1111/j.1745-4565.1999.tb00246.x
  16. Walls I, Scott VN. Use of predictive microbiology in microbial food safety risk assessment. Int. J. Food Microbiol. 36: 97-102 (1997) https://doi.org/10.1016/S0168-1605(97)01260-9
  17. Buchanan RL, Demis S, Miliotis M. Initiating managing risk assessments within risk analysis framework: FDA/CFSAN's practical approach. J. Food Prot. 67: 2058-2062 (2004) https://doi.org/10.4315/0362-028X-67.9.2058
  18. Bahk GJ, Chun SJ, Park KH, Hong CH, and Kim JW. Survey on the foodborne illness experience and awareness of food safety practice among korean consumers. J. Fd. Hyg. Safety 18: 139-145(2003)
  19. SAS Institute Inc. SAS User's Guide. Statistical Analysis Systems Institute, Cary, NC, USA (2002)
  20. Park SY, Choi JW, Yeon JH, Lee MJ, Oh DH, Hong CH, Bahk GJ, Woo GJ, Park JS, Ha SD. Assessment of contamination level of foodborne pathogens isolated in kimbab and its main ingredients in the process of preparation. Korean J. Food Sci. Tech. 37: 122-128(2005)
  21. Notermans S, Teunis P. Quantitative risk analysis and the production of microbiologically safe food: an introduction. Int. J. Food Microbiol. 30: 3-7 (1996) https://doi.org/10.1016/0168-1605(96)00987-7
  22. FAO/WHO. Joint FAO/WHO expert consultation on risk assessment of microbiological hazards in foods. FAO Food and Nutrition Paper No. 71. FAO Rome, Italy (2000)
  23. Oh DH, Ha SD, Hong CH. Study on the reduction of foodborne pathogenic bacteria in ready-to-eat (RTE) foods. 2004 K.FDA research project report (project No. FBD-563). KFDA, Seoul, Korea (2004)
  24. CAC (Codex Alimentarius Commission). Principles and guidelines for the conduct of microbiological risk assessment. CAC/GL-30. FAO Rome, Italy (1999)
  25. CAC (Codex Alimentarius Commission). Draft principles and guidelines for the conduct of microbiological risk assessment. Codex Committee on Food Hygiene. Report of the thirty-first session, Orlando, United States (1998)
  26. Palisade Inc. Guide to using $\circledR$RISK: risk analysis and simulation add-in for microsoft excel, ver 4.5, Newfield, NY, USA (2002)