Abstract
A model for the assessment of microbiological risks, which may originate from intentional contamination of the feed chain, was developed by the Federal Institute for Risk Assessment. It covers different feed processing chains and different microorganisms. Numerous scenarios were defined and evaluated as well as a sensitivity analysis performed. The application of the model allowed the identification of process parameter combinations which would be inefficient in worst case scenarios, e.g. where a highly heat resistant strain was selected for the intentional contamination. Equally important, this analysis can help to target specific control efforts. Based on the outcome of these simulations, recommendations can easily be given in crisis situations to which temperature-time combination processes should be adjusted to ensure the production of safe compound feeding stuff. This research will help to better understand and predict the consequences of bioterrorist attacks in the feed processing chain.
Chapter PDF
Similar content being viewed by others
References
Simon, O.: Micro-Organisms as Feed Additives - Probiotics. Advances in Pork Production 16, 161–167 (2005)
Leguerinel, I., Spegagne, I., Couvert, O., Gaillard, S., Mafart, P.: Validation of an overall model describing the effect of three environmental factors on the apparent D-value of Bacillus cereus spores. International Journal of Food Microbiology 100, 223–229 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Käsbohrer, A., Filter, M., Körner, A., Mader, A., Zentek, J., Appel, B. (2012). Model for the Assessment of Microbiological Risks Originating from Intentional Contaminations in Feed Chains. In: Aschenbruck, N., Martini, P., Meier, M., Tölle, J. (eds) Future Security. Future Security 2012. Communications in Computer and Information Science, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33161-9_66
Download citation
DOI: https://doi.org/10.1007/978-3-642-33161-9_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33160-2
Online ISBN: 978-3-642-33161-9
eBook Packages: Computer ScienceComputer Science (R0)