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Molecular culture-independent methods and microarrays are useful in monitoring microbial behaviour in the food chain and are often superior to the classical methods for detection of pathogens.
This model seems relevant to take into consideration the natural variability of processes governing the microbial behaviour in foods and is an effective approach to assess, for instance, the probability to exceed a critical threshold during the storage of foods like the limit of 100 CFU/g in the case of L. monocytogenes.
The novelty of the work lays on fully considering the spatial location of the molecules and allowing for the description of intricate microscale structures, which enables the modelling of microbial behaviour in more realistic and complex environments.
Although CFD simulation of particle transport has some limitations as a surrogate for microbial behaviour in the environment, we estimate that such phenomenon and pressure bypass is likely to occur in any pressurized room, ward or laboratory and should be considered as a risk of microbial airborne transmission.
Our study demonstrates the ability of flux balance analysis to not only study classical steady-state conditions but also to predict microbial behaviour in dynamic growth conditions provided that sufficiently detailed measurements of the changing growth conditions (nutrient uptake) and cellular objective (antibiotic production rate) are available.
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Understanding and monitoring of microbial behaviour of pathogens in the entire food chain is seen as one of the most important prerequisites for a lower prevalence of foodborne pathogens.
Modelling cellular metabolism is a strategic factor in investigating microbial behaviour and interactions, especially for bio-technological processes.
Before predictive microbiology can be applied to the food industry, mathematical models that adequately describe microbial behaviour are needed.
The main weakness of these models is that to obtain numerical solutions the operator must specify the rules governing microbial cell behaviour in the biofilm, and these rules are difficult to establish experimentally.
Meanwhile, enzymatic and microbial behaviours remained undisturbed.
It is therefore reasonable to expect that the nitrogen-cycling microbial communities inhabiting burrow walls are regulated by the higher level of physicochemical disturbance imposed upon them by shrimp behaviour in summer months, potentially explaining the lower gene abundances observed here.
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