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The TRuST project aims to develop a predictive model for Listeria monocytogenes growth in ready-to-eat foods, particularly seafood. By integrating gene expression data and growth variability, the project seeks to enhance food safety and prevent contamination.
Listeria monocytogenes (Lm) is a potentially deadly pathogen with the ability to grow in a wide range of ready-to-eat (RTE) food products.
This pathogen is of major concern for food stakeholders, as numerous product recalls from markets and an increasing number of outbreaks are occurring in Europe.
In this economic and public health context, more research is urgently needed to understand and prevent Lm growth in RTE foods. TRuST is about creating a robust growth model to predict and manage Lm gr…
TECHNICAL UNIVERSITY OF DENMARK DTU
DANMARKS TEKNISKE UNIVERSITET
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