Publications by authors named "Yvan Le Marc"

Listeria monocytogenes is a foodborne pathogen which, in 2021, was considered the fifth most commonly reported zoonosis in humans in the European Union (EU). Ready-to-eat (RTE) fishery products, deli meats or soft cheeses have been mostly involved in food safety alerts and outbreaks in the last years. Hurdle technology by food industries has been widely used to enhance the safety of foods.

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The growth of six bacterial species (Carnobacterium maltaromaticum, Bacillus weihenstephanensis, Bacillus cereus, Paenibacillus spp., Leuconostoc mesenteroides and Pseudomonas fragi) was studied in various gas compositions. Growth curves were obtained at various oxygen concentrations (between 0.

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The application of mathematical modeling to study and characterize lactic acid bacterial strains with pro-technological and functional features has gained attention in recent years to solve the problems relevant to the variabilities of the fermentation processes of sourdough. Since the key factors contributing to the sourdough quality are relevant to the starter strain growth and its metabolic activity, in this study, the cardinal growth parameters for , temperature (), water activity (), and undissociated lactic acid of the sourdough strain ITM21B, were determined. The strain growth, , organic acids (lactic, acetic, phenyllactic, and hydroxy-phenyllactic), total free amino acids, and proteins were monitored during fermentation of a liquid sourdough based on wheat flour and gluten (Bio21B) after changing the starting , , and inoculum load.

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Article Synopsis
  • The study focused on four bacterial strains used in food fermentation and probiotics, specifically examining their growth in varying temperatures (5.5°C to 40°C) and pH levels (3.2 to 9.1).
  • Researchers found that strain P40 had a narrow temperature growth range, while IMPC4.1 could survive under extreme conditions, highlighting the importance of understanding each strain's growth parameters.
  • By developing models to predict growth and calculate time to reach desired probiotic levels in food (like white cabbage), the study illustrates how predictive microbiology can enhance fermentation processes.
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The objective of this work is to match available phylogenetic information for Bacillus cereus strains with published thermal resistance parameters (D, z) and to use this information to develop refined inactivation models for B. cereus sensu lato. To do so, the thermal resistance parameters were retrieved for 57 strains of B.

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In this study, the effect of pH, alone or in combination with temperature, on the maximum growth rate (μ) of B. cereus sensu lato was investigated. In phase 1, the effect of pH at 30 °C was studied for 16 mesophilic strains and 2 psychrotrophic strains of Bacillus cereus sensu lato.

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Article Synopsis
  • A stochastic model was developed to predict the maximum specific growth rate (μ) of Bacillus cereus based on temperature, accounting for variations within species by using distributions of cardinal parameters.
  • The model was informed by growth rate data from 33 Bacillus cereus strains, revealing clusters with similar temperature responses, and showed that psychrotrophic strains grow significantly slower than mesophilic ones.
  • The refined model provides better predictions near temperature growth limits and can enhance the understanding of Bacillus cereus variability in Quantitative Microbial Risk Assessment (QMRA), with applications demonstrated for Reconstituted Infant Formulae.
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Pseudomonas aeruginosa is a common contaminant associated with product recalls in the home and personal care industry. Preservation systems are used to prevent spoilage and protect consumers, but greater knowledge is needed of preservative resistance mechanisms used by P. aeruginosa contaminants.

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It is recognised that inoculum size affects the rate and extent of bacterial spore germination. It has been proposed that this is due to spores interacting: molecules released from germinated spores trigger germination of dormant neighbours. This study investigated whether changes to the total number of spores in a system or proximity to other spores (local spore density) had a more significant effect on interaction between spores of non-proteolytic Clostridium botulinum strain Eklund 17B attached to defined areas of microscope slides.

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Preservative factors act as hurdles against microorganisms by inhibiting their growth; these are essential control measures for particular food-borne pathogens. Different combinations of hurdles can be quantified and compared to each other in terms of their inhibitory effect ("iso-hurdle"). We present here a methodology for establishing microbial iso-hurdle rules in three steps: (i) developing a predictive model based on existing but disparate data sets, (ii) building an experimental design focused on the iso-hurdles using the model output, and (iii) validating the model and the iso-hurdle rules with new data.

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In the present study six probiotic Lactobacillus rhamnosus strains were investigated for their ability to survive in the human upper gastrointestinal tract through a dynamic gastric model of digestion. MRS broth was used as delivery vehicle and survival was investigated during in vitro gastric and gastric plus duodenal digestion. Results highlighted that all tested strains showed good survival rate during both gastric and duodenal digestion.

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Kinetic models were developed to predict the microbial spoilage and the sensory quality of fresh fish and to evaluate the efficiency of a commercial time-temperature integrator (TTI) label, Fresh Check(R), to monitor shelf life. Farmed turbot (Psetta maxima) samples were packaged in PVC film and stored at 0, 5, 10 and 15 degrees C. Microbial growth and sensory attributes were monitored at regular time intervals.

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Depending on environmental factors, the prediction of bacterial growth is made difficult by the complexity of foodstuff. Although the influence of temperature, pH, and water activity are usually taken into account, models have to be completed with the influence of acid mixture. Nine strains of Listeria spp.

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Data from a database on microbial responses to the food environment (ComBase, see www.combase.cc) were used to study the boundary of growth several pathogens (Aeromonas hydrophila, Escherichia coli, Listeria monocytogenes, Yersinia enterocolitica).

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