Outil d'aide à la sélection d'emballages alimentaires pour la conservation sous atmosphère modifiée des produits frais

Patrice Buche 1, 2 Nathalie Gontard 1 Valérie Guillard 1 Carole Guillaume 1 Luc Menut 1
2 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : To design new packaging for fresh food, stakeholders of the food chain express their needs and requirements, according to some goals and objectives. These requirements can be gathered into two groups: (i) fresh food related characteristics and (ii) packaging intrinsic characteristics. Modified Atmosphere Packaging (MAP) is an efficient way to delay senescence and spoilage and thus to extend the very short shelf life of respiring products such as fresh fruits and vegetables. MAP requires an equilibrium between the respiration of the products and the permeability of the packaging that allows the internal atmosphere to reach an optimal composition, which depends on the product. Consequently, packaging O2/CO2 permeabilities must fit the requirements of fresh fruits and vegetable as predicted by virtual MAP simulating tools. Beyond gas permeabilities, the choice of a packaging material for fresh produce includes numerous other factors such as the cost, availability, potential contaminants of raw materials, process ability, waste management constraints, etc. To help stakeholders taking a rational decision based on the expressed needs, a new multi-criteria Decision Support System (DSS) for selecting biodegradable packaging for fresh produce has been built. In this paper we present the functional specification, the software architecture and the implementation of the developed tool. This tool includes (i) a MAP simulation module combining mass transfer models and respiration of the food, (ii) a multi-criteria flexible querying module which handles imprecise, uncertain and missing data stored in the database. Abstract: A Decision Support System to select modified atmosphere packaging for fresh produce To design new packaging for fresh food, stakeholders of the food chain express their needs and requirements, according to some goals and objectives. These requirements can be gathered into two groups: (i) fresh food related characteristics and (ii) packaging intrinsic characteristics. Modified Atmosphere Packaging (MAP) is an efficient way to delay senescence and spoilage and thus to extend the very short shelf life of respiring products such as fresh fruits and vegetables. MAP requires an equilibrium between the respiration of the products and the permeability of the packaging that allows the internal atmosphere to reach an optimal composition, which depends on the product. Consequently, packaging O2/CO2 permeabilities must fit the requirements of fresh fruits and vegetable as predicted by virtual MAP simulating tools. Beyond gas permeabilities, the choice of a packaging material for fresh produce includes numerous other factors such as the cost, availability, potential contaminants of raw materials, process ability, waste management constraints, etc. To help stakeholders taking a rational decision based on the expressed needs, a new multi-criteria Decision Support System (DSS) for selecting biodegradable packaging for fresh produce has been built. In this paper we present the functional specification, the software architecture and the implementation of the developed tool. This tool includes (i) a MAP simulation module combining mass transfer models and respiration of the food,
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01651979
Contributor : Patrice Buche <>
Submitted on : Wednesday, November 29, 2017 - 5:51:59 PM
Last modification on : Monday, November 18, 2019 - 3:31:26 PM

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Patrice Buche, Nathalie Gontard, Valérie Guillard, Carole Guillaume, Luc Menut. Outil d'aide à la sélection d'emballages alimentaires pour la conservation sous atmosphère modifiée des produits frais. Innovations Agronomiques, INRA, 2017, 58, pp.81-91. ⟨10.15454/1.5137841213314526E12⟩. ⟨lirmm-01651979⟩

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