Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8844073 | International Journal of Food Microbiology | 2018 | 11 Pages |
Abstract
The SE and growth models were validated on separate data sets (Nâ¯=â¯200 SE model, Nâ¯=â¯63 growth model) including both dynamic and static conditions. The SE model predicted all occurrences of toxin formation in the validation data sets. The growth model is a fail-safe model and the prediction errors are comparable to laboratory reproducibility. In conclusion, the models are applicable for predicting the increase in S. aureus and for evaluating if SE formation is likely during processing of meat products. The models are available to producers and other interested parties at www.dmripredict.dk.
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Authors
A. Gunvig, M.S. Andresen, T. Jacobsen, C. Borggaard,