A Decision Support Tool based on microbial safety prediction for a better dimensioning of modified atmosphere packaging

التفاصيل البيبلوغرافية
العنوان: A Decision Support Tool based on microbial safety prediction for a better dimensioning of modified atmosphere packaging
المؤلفون: Guillard, Valérie, Couvert, Olivier, Stahl, Valérie, Buche, Patrice, Hanin, Aurélie, Denis, Catherine, Dibie-Barthelemy, Juliette, Dervaux, Stephane, Loriot, Catherine, Vincelot, Thierry, Thuault, Dominique, Huchet, Véronique
المساهمون: Ingénierie des Agro-polymères et Technologies Émergentes (UMR IATE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Laboratoire Universitaire de Biodiversité et Ecologie Microbienne (LUBEM), Université de Brest (UBO), Aérial - Centre de Ressources Technologiques et Institut Technique Agro-Industriel, ACTALIA Villers-Bocage, Actalia Saint-Lô, Mathématiques et Informatique Appliquées (MIA-Paris), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Laboratoire National de Métrologie et d'Essais Trappes (LNE ), ADRIA Développement, ANR Map'opt, ANR-10-ALIA-0002,MAP'OPT,Composition, dynamique des gaz et optimisation de la protection des denrées dans les emballages sous atmosphère modifiée(2010)
المصدر: 29. EFFoST International Conference
https://hal.science/hal-01236546
29. EFFoST International Conference, Nov 2015, Athènes, Greece
بيانات النشر: HAL CCSD
سنة النشر: 2015
مصطلحات موضوعية: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SPI.MAT]Engineering Sciences [physics]/Materials, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology
جغرافية الموضوع: Athènes, Greece
الوصف: Predicting microbial safety of fresh products in Modified Atmosphere Packaging (MAP) systems implies to take into account the dynamic of O2 and CO2 exchanges in the system and its effect on microbial growth. In this purpose we coupled mathematical models of gas transfer (permeation through packaging and solubilisation / diffusion within food) with predictive microbiology models that take into account the effect of CO2 and O2 partial pressure in headspace and corresponding dissolved concentrations in the food. This mechanistic model was validated in simplified and in real conditions using dedicated challenge-tests performed on poultry meat, fresh salmon and processed cheese, inoculated with either Listeria monocytogenes or Pseudomonas fluorescens.Once validated, this model could be used as a Decision Support Tool in order to optimize the initial packaging atmosphere (level of O2 and CO2) and / or the geometry (ratio headspace volume to food mass). This tool could also be used to identify the packaging gas permeability the most suitable for maintaining the targeted % of gas initially flushed in the pack within a given tolerance. This approach permits a better dimensioning of MAP of fresh produce by selecting the packaging material fitted to “just necessary” (and not by default the most barrier one). The connexion of this model with dedicated databases gathering gas permeabilities of commonly used packaging materials allows us to obtain as output a ranking of the most suitable materials. This tool would be very useful for all stakeholders of the fresh produce chain. A demonstration of this Decision Support Tool is here proposed with the pipeline between mathematical models and related databases.
نوع الوثيقة: conference object
اللغة: English
Relation: hal-01236546; https://hal.science/hal-01236546; https://hal.science/hal-01236546/document; https://hal.science/hal-01236546/file/Short%20paper%20template_29%20EFFoST%20Conference-1_%7B7E97442B-EFBA-4BB9-8D48-083265C59B0E%7D.pdf; PRODINRA: 334848
الاتاحة: https://hal.science/hal-01236546
https://hal.science/hal-01236546/document
https://hal.science/hal-01236546/file/Short%20paper%20template_29%20EFFoST%20Conference-1_%7B7E97442B-EFBA-4BB9-8D48-083265C59B0E%7D.pdf
Rights: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.74159464
قاعدة البيانات: BASE