B Vivijs, A Aertsen, CW Michiels - Frontiers in microbiology, 2016 - frontiersin.org
The survival of some pathotypes of Escherichia coli in very low pH environments like highly acidic foods and the stomach has been well documented and contributes to their success as …
Minimal processing for microbial decontamination, such as the use of natural antimicrobials, is gaining interest in the food industry as these methods are generally milder than …
Modelling and simulation of microbial dynamics as a function of processing, transportation and storage conditions is a useful tool to improve microbial food safety and quality. The goal …
S Akkermans, EN Fernandez, F Logist… - International journal of …, 2017 - Elsevier
Efficient modelling of the microbial growth rate can be performed by combining the effects of individual conditions in a multiplicative way, known as the gamma concept. However …
BN Silva, V Cadavez, JA Teixeira, M Ellouze… - Food Research …, 2020 - Elsevier
Since Listeria monocytogenes has a high case-fatality rate, substantial research has been devoted to estimate its growth rate under different conditions of temperature, pH and water …
C Smet, E Noriega, J Van Mierlo… - Food Research …, 2015 - Elsevier
The microbial growth morphology, as a consequence of the food structure, has been acknowledged to play a key role on the growth behavior. While in liquid media planktonic …
AE Kapetanakou, KG Athanaseli, M Kolostoumpi… - Food Control, 2022 - Elsevier
The objectives of the present study were:(i) to record time-temperature data in the geometrical center (“coldest spots”) of different sizes and states (raw vs. frozen) of pork …
Over the last decades, predictive microbiology has made significant advances in the mathematical description of microbial spoiler and pathogen dynamics in or on food products …
I Mytilinaios, I Bernigaud, V Belot… - Journal of applied …, 2015 - academic.oup.com
Aims To explore the predictions of a novel rearrangement of the Baranyi–Roberts model (BRM) with time to detection data obtained from optical density data of microbial growth …