Czech J. Food Sci., 2014, 32(2):122-131 | DOI: 10.17221/106/2013-CJFS
Quantitative risk assessment of Bacillus cereus in pasteurised milk produced in the Slovak RepublicOriginal Paper
- 1 Institute of Chemical and Environmental Engineering and
- 2 Institute of Biochemistry, Microbiology and Health Protection, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Slovak Republic
Quantitative risk assessment of Bacillus cereus using data from pasteurised milk produced in Slovakia was performed. Monte Carlo simulations were used for probability calculation of B. cereus density at the time of pasteurised milk consumption for several different scenarios. The results of the general case exposure assessment indicated that almost 14% of cartons can contain > 104 CFU/ml of B. cereus at the time of pasteurised milk consumption. Despite the absence of a generally applicable dose-response relationship that limits a full risk assessment, the probability of intoxication per serving and the estimated number of cases in the population were calculated for the general exposure assessment scenario using an exponential dose-response model based on Slovak data. The mean number of annual cases provided by the risk assessment model for pasteurised milk produced in Slovakia was 0.054/100 000 population. In comparison, the overall reporting rate of the outbreaks in the EU in which B. cereus toxins were the causative agent was 0.02/100 000 population in 2010. Our assessment is in accordance with a generally accepted fact that reporting data for alimentary intoxication are underestimated, mostly due to the short duration of the illness.
Keywords: exposure assessment; risk characterisation; Monte Carlo simulations
Published: April 30, 2014 Show citation
References
- Anonymous (2005): Opinion of the scientific panel on biological hazards on Bacillus cereus and other Bacillus spp. in foodstuffs. The EFSA Journal, 175: 1-48.
- Anonymous (1999): U.S. Food Temperature Evaluation Design and Summary Pages. Audits International/FDA: 13.
- Baranyi J., Roberts T.A. (1994): A dynamic approach to predicting bacterial growth in food. International Journal of Food Microbiology, 23: 277-294.
Go to original source...
Go to PubMed...
- Blackburn C.W., McClure P.J. (2009): Pathogenic Bacillus species. In: Blackburn C.W. McClure P.J. (eds): Foodborne Pathogens. Hazards, Risk Analysis and Control. Vol. 2. CRC Press, Boca Raton: 844-888.
Go to original source...
- Cassin M.H., Lammerding A.M., Todd E.C.D, Ross W., McCol R.S. (1998): Quantitative risk assessment for Escherichia coli O157:H7 in ground beef hamburgers. International Journal of Food Microbiology, 41: 21-44.
Go to original source...
Go to PubMed...
- Commission Regulation (EC) No 1441/2007 of 5 December 2007 on microbiological criteria for foodstuffs (2007): Official Journal of the European Union, L 322: 12.
- Davey K.R. (1989): A predictive model for combined temperature and water activity on microbial growth during growth phase. Journal of Applied Bacteriology, 67: 483-488.
Go to original source...
Go to PubMed...
- European Food Safety Authority, European Centre for Disease Prevention and Control (2012): The European Union Summary Report on Trends and Sources of Zoonoses, Zoonotic Agents and Food-borne Outbreaks in 2010. EFSA Journal, 10 (3): 2597, 442.
Go to original source...
- Fazil A.M. (2005): A primer on risk assessment modelling: focus on seafood products. FAO Fisheries Technical Paper, No. 462: 56.
- Granum P.E., Thomas J.M., Alouf J.E. (1995): A survey of bacterial toxins involved in food poisoning: a suggestion for bacterial food poisoning toxin nomenclature. International Journal of Food Microbiology, 528: 199-144.
Go to original source...
Go to PubMed...
- Bassett J., Nauta M., Lindqvist R., Zwietering M.H. (2012): Tools for Microbiological Risk Assessment. ILSI Europe a.i.s.b.l, Brussels.
- Lampel K.A., Al-Khaldi S., Cahill S.M. (eds) (2012): Bad Bug Book. Foodborne Pathogenic Microorganisms and Natural Toxins Handbook. 2 nd Ed. Food and Drug Administration (FDA), Silver Spring.
- Lindquist R., Westöö I. (2000): Quantitative risk assessment for Listeria monocytogenes in smoked or gravid salmon and rainbow trout in Sweden. International Journal of Food Microbiology, 58: 181-196.
Go to original source...
Go to PubMed...
- Lindquist R., Sylvén S., Vägsholm I. (2002): Quantitative microbial risk assessment exemplified by Staphylococcus aureus in unripened cheese made from raw milk. International Journal of Food Microbiology, 78: 155-170.
Go to original source...
Go to PubMed...
- Nauta M.J. (2000): Separation of uncertainty and variability in quantitative microbial risk assessment models. International Journal of Food Microbiology, 57: 9-18.
Go to original source...
- Nauta M.J., Litman S., Barker G.S., Carlin F. (2003): A retail and consumer phase model for exposure assessment of Bacillus cereus. International Journal of Food Microbiology, 83: 205-218.
Go to original source...
Go to PubMed...
- Nauta M.J. (2005): Microbial risk assessment models for portioning and mixing during food handling. International Journal of Food Microbiology, 100: 311-322.
Go to original source...
Go to PubMed...
- Notermans S., Dufrenne J., Teunis P., Beumer R., te Gipfel M., Weem P. (1997): A risk assessment study of Bacillus cereus present in pasteurized milk. Food Microbiology, 14: 143-151.
Go to original source...
- Notermans S., Nauta M. J., Jansen J., Jouve J.L., Mead G.C. (1998): A risk assessment approach to evaluating food safety based on product surveillance. Food Control, 9: 217-223.
Go to original source...
- MataragasM., Zwietering M.H., Skandamis P.N., Drosinos E.H. (2010): Quantitative microbial risk assessment as a tool to obtain useful information for risk managers - Specific application to Listeria monocytogenes and ready-to-eat meat products. International Journal of Food Microbiology, 141: S170-S179.
Go to original source...
Go to PubMed...
- Pokrievka M. (2001): Distribúcia teplôt v domácich chladničkách. [Bachelor Thesis.] STU, Bratislava.
- Ratkowsky, D.A., Olley, J., McMeekin, T.A., Ball A. (1982): Relationship between temperature and growth rate of bacterial cultures. Journal of Bacteriology, 149: 1-5.
Go to original source...
Go to PubMed...
- TA SR. (2012): Slovaks are on the 23rd place in the consumption of milk within Europe. Available at www.TASR.sk (accessed June 8, 2012).
- Valík Ľ. (2009): Exposure Assessment of Bacillus cereus from pasteurized milk. Ministry of Agriculture and Rural Development of the Slovak Republic, Bratislava. Available at http://www.mpsr.sk/sk/index.php?navID=525&navID2=525&sID=40&id=2050
- Valík Ľ., Prachar V. (2009): Pôvodcovia ochorení z požívatín a minimalizácia ich rizika. STU, Bratislava: 167.
- Valík Ľ., Görner F., Lauková D. (2003): Growth dynamics of Bacillus cereus and shelf-life of pasteurized milk. Czech Journal of Food Sciences, 21: 195-202.
Go to original source...
- Vose D. (2008). Risk Analysis: a Quantitative Guide. 3rd Ed. John Wiley & Sons, Ltd., New York.
- Whiting R.C. (1995): Microbial modeling in foods. Critical Reviews in Food Science and Nutrition, 35: 467-494.
Go to original source...
- Whiting R.C., Buchanan R.L. (1997): Development of a quantitative risk assessment model for Salmonella enteritidis in pasteurized liquid eggs. International Journal of Food Microbiology, 39: 111-125.
Go to original source...
Go to PubMed...
- WHO-FAO (2006): Food Safety Risk Analysis: A Guide for National Food Safety Authorities. FAO and WHO, Rome.
- Zwietering M.H, Notermans S., de Wit J. (1996): The application of predictive microbiology to estimate the number of Bacillus cereus in pasteurized milk at the point of consumption. International Journal of Food Microbiology, 30: 55-70.
Go to original source...
Go to PubMed...
- Zwietering M.H. (2009): Quantitative risk assessment: Is more complex always better? Simple is not stupid and complex is not always correct. International Journal of Food Microbiology, 134: 57-62.
Go to original source...
Go to PubMed...
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