DOI QR코드

DOI QR Code

Quantitative Microbial Risk Assessment of Clostridium perfringens on Ham and Sausage Products in Korea

햄 및 소시지류에서의 Clostridium perfringens에 대한 정량적 미생물 위해평가

  • Ko, Eun-Kyung (Livestock Products Standard Division, Animal Plant & Fisheries Quarantine & Inspection Agency) ;
  • Moon, Jin-San (Livestock Products Standard Division, Animal Plant & Fisheries Quarantine & Inspection Agency) ;
  • Wee, Sung-Hwan (Livestock Products Standard Division, Animal Plant & Fisheries Quarantine & Inspection Agency) ;
  • Bahk, Gyung-Jin (Department of Food and Nutrition, Kunsan National University)
  • 고은경 (농림수산검역검사본부 축산물기준과) ;
  • 문진산 (농림수산검역검사본부 축산물기준과) ;
  • 위성환 (농림수산검역검사본부 축산물기준과) ;
  • 박경진 (군산대학교 식품영양학과)
  • Received : 2011.08.04
  • Accepted : 2012.02.22
  • Published : 2012.02.29

Abstract

This study was conducted for quantitative microbial risk assessment (QMRA) of Clostridium perfringens with consumption on ham and sausage products in Korea, according to Codex guidelines. Frame-work model as product-retail-consumption pathway composed with initial contamination level, the time and temperature in distributions, and consumption data sets for ham and sausage products and also used the published predictive growth and dose-response models for Cl. perfringens. The simulation model and formulas with Microsoft@ Excel spreadsheet program using these data sets was developed and simulated with @RISK. The probability of foodborne disease by Cl. perfringens with consumption of the ham and sausage products per person per day was estimated as $3.97{\times}10^{-11}{\pm}1.80{\times}10^{-9}$. There were also noted that limitations in this study and suggestion for development of QMRA in the future in Korea.

본 연구는 햄 및 소시지류에서의 Clostridium perfringens에 대한 정량적 미생물 위해평가(Quantitative microbial risk assessment; QMRA)를 국제기준(Codex)의 원칙과 지침에 따라 수행하였으며, 오염수준에 대한 직접적인 분석결과와 현재의 국내 유통환경, 관련제품의 특성, 섭취량 및 소비행태 등을 반영한 노출평가용 "product-retail-consumption pathway" frame-work 모델을 구성하였고, 이를 바탕으로 엑셀(Excel)기반 노출평가용 시뮬레이션 모델을 개발하여 제시하였다. 개발된 모델을 시뮬레이션 프로그램인 @RISK를 활용하여 위해(risk) 수준을 산출하였으며, 그 결과 국내에서 1일 1인이 햄 및 소시지류의 섭취를 통한 Cl. perfringens에 의한 식중독발생 확률은 평균적으로 $3.97{\times}10^{-11}{\pm}1.80{\times}10^{-9}$으로 추정하였다. 또한 본 연구에서 수행한 QMRA결과를 바탕으로 현재수준에서의 한계점과 미래에 더욱 발전된 국내 QMRA 연구 및 활용을 위한 제언을 추가하였다

Keywords

References

  1. Bahk G. J. (2010a) Present status and the strategies of application of microbial risk assessment (MRA) on livestock products in Korea. Kor. J. Vet. Publ. Hlth. 34, 1-8.
  2. Bahk G. J. (2010b) Statistical probability analysis of storage temperatures of domestic refrigerator as a risk factor of foodborne illness outbreak. Kor. J. Food Technol. 42, 373-376.
  3. Bahk, G. J., Todd, E. C. D. Hong, C. H., Oh, D. H., and Ha, S. D. (2007) Exposure assessment for Bacillus cereus in ready-to-eat Kimbab selling at stores. Food Control 18, 682-688. https://doi.org/10.1016/j.foodcont.2006.02.017
  4. Bahk, G. J., Hong, C. H., Oh, D. H., Ha, S. D., Park, K. H., and Todd, E. C. D. (2006) Modeling the level of contamination of Staphylococcus aureus in ready-to-eat food Kimbab in Korea. J. Food Prot. 69, 1340-1346.
  5. Bemrah, N., Sana, M., Cassin, M. H., Griffiths, M. W., and Cerf, O. (1998) Quantitative risk assessment of human listeriosis from consumption of soft cheese made from raw milk. Prev. Vet. Med. 37, 129-145. https://doi.org/10.1016/S0167-5877(98)00112-3
  6. Blackburn, C. W. and McClure, P. J. (2009) Foodborne pathogens - hazards, risk analysis and control. 2nd ed, CRC press, Cambridge, pp. 830-835.
  7. Cho, J. J., Baek, S. H., Lim, D. G., Pyo, S. I., Lee, W. C. l., and Nam, I. S. (2010) Effects of HACCP system implementation on medicine use and productivity of swine farms in Korea. Korean J. Food Sci. An. 30, 392-396. https://doi.org/10.5851/kosfa.2010.30.3.392
  8. Choi, M. S., Choi, J. A., Kim, M., and Bahk, G. J. (2011) The comparison of temperatures between display stand and temperature of food surface for cold and frozen foods in wholesale stores in Korea. J. Food Hyg. Safety 26, 283-288.
  9. Codex (1998) 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.
  10. Golden, N. J., Crouch, E. A., Latmer, H., Kadrt, A. R., and Kause, J. (2009) Risk assessment for Clostridium perfringens in ready-to-eat and partially cooked meat and poultry products. J. Food Prot. 72, 1370-1384.
  11. Korea Food and Drug Administration (KFDA). (2011) The study of store management for food warehouse and transport.
  12. Korea Health Industry Development Institute (KHIDI). (2008) The report of international microbial specification and standards.
  13. Korea Ministry of Health and Welfare (KMHW). (2009) Korea national health and nutrition survey. Available from: http://knhanes.cdc.go.kr/. Accessed Jul. 15. 2011.
  14. Korea Animal, Plant and Fisheries Quarantine and Inspection Agency (KQIA). (2011a) Standards for livestock products. Available from: http://www.qia.go.kr/livestock/clean/livestock_livestock_food.jsp. Accessed Aug. 4. 2011.
  15. Korea Animal, Plant and Fisheries Quarantine and Inspection Agency (KQIA). (2011b) The method, standard and procedures for risk assessment of animal products. Available from: http://www.qia.go.kr/livestock/clean/livestock_livestock_ food.jsp. Accessed Sep. 2. 2011.
  16. Lund, B. M., Baird-Parker, T. C., and Gould, G. W. (2000a) The microbiological safety and quality of food. Aspen Publishers, Inc., Maryland, pp. 361-383.
  17. Lund, B. M., Baird-Parker, T. C., and Gould, G. W. (2000b) The microbiological safety and quality of food. Aspen Publishers, Inc., Maryland, pp. 1110-1127.
  18. Marc, Y. L., Plowman, J., Aldus, C. F., Munoz-cuevas, M., Baranyi, J., and Peck, M. W. (2008) Modeling the growth of Clostridium perfringens during the cooling of bulk meat. Int. J. Food Microbiol. 128, 41-50. https://doi.org/10.1016/j.ijfoodmicro.2008.07.015
  19. Oh, D. H., Ding, T., Ha S. D., and Bahk, G. J. (2009). The risk estimation of Listeria monocytogenes for ready-to-eats fresh cut-vegetables. J. Food Hyg. Safety 24, 50-55.
  20. Park, S. Y., Choi, J. W., Chung, D. H., Kim, M. G., Lee, K. H., Kim, K. S., Bahk, G. J., Bae, D. H., Park, S. K., Kim, K. Y., Kim, C. H., and Ha, S. D. (2007) Development of a predictive mathematical model for the growth kinetics of Listeria monocytogenes in sesame leaves. Food Sci. Biotechnol. 16, 238-242.
  21. Ross, T., Rasmussen S., Fazil, A., Paoli, G., Sumner, J. (2009) Quantitative risk assessment of Listeria monocytogenes in ready-to-eat meats in Australia. Int. J. Food Microbiol. 131, 128-137. https://doi.org/10.1016/j.ijfoodmicro.2009.02.007

Cited by

  1. Quantitative Microbial Risk Assessment for Clostridium perfringens in Natural and Processed Cheeses vol.29, pp.8, 2016, https://doi.org/10.5713/ajas.15.1007
  2. Quantitative microbial risk assessment for Clostridium perfringens foodborne illness following consumption of kimchi in South Korea vol.29, pp.8, 2020, https://doi.org/10.1007/s10068-020-00754-2
  3. Contamination of Clostridium perfringens in soy sauce, and quantitative microbial risk assessment for C. perfringens through soy sauce consumption vol.9, pp.4, 2012, https://doi.org/10.1002/fsn3.2182
  4. Predictive modeling and probabilistic risk assessment of Clostridium perfringens in hamburgers and sandwiches vol.30, pp.13, 2012, https://doi.org/10.1007/s10068-021-01000-z