Incorporating strain variability in the design of heat treatments: A stochastic approach and a kinetic approach

Author:

Zwietering Marcel H.,Garre Alberto,den Besten Heidy M.W.

Funder

H2020 Marie Skłodowska-Curie Actions

Fundación Séneca

Publisher

Elsevier BV

Subject

Food Science

Reference20 articles.

1. Quantifying variability on thermal resistance of Listeria monocytogenes;Aryani;International Journal of Food Microbiology,2015

2. The effect of different matrices on the growth kinetics and heat resistance of Listeria monocytogenes and Lactobacillus plantarum;Aryani;International Journal of Food Microbiology,2016

3. Computational procedures for optimal experimental design in biological systems;Balsa-Canto;IET Systems Biology,2008

4. Bean, D., Bourdichon, F., Bresnahan, D., Davies, A., Geeraerd, A., Jackson, T., Membre, J. M., Pourkomailian, B., Richardson, P., Stringer, M., Uyttendaele, M., & Zwietering, M. (2012). Risk assessment approaches to setting thermal processes in food manufacture. ILSI Europe Report Series, ILSI, Brussels, 40p. https://ilsi.eu/wp-content/uploads/sites/3/2016/06/Thermal-processing.pdf.

5. Natural diversity in heat resistance of bacteria and bacterial spores: Impact on food safety and quality;Den Besten;Annual Review of Food Science and Technology,2018

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