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MAP-OPT: A software for supporting decision-making in the field of modified atmosphere packaging of fresh non respiring foods

Valérie Guillard
  • Corresponding author
  • UMR IATE, University of Montpellier - INRA, 2 place Pierre Viala F-34060 Montpellier Cedex, Montpellier, France
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  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Olivier Couvert / Valérie Stahl / Patrice Buche
  • UMR IATE, University of Montpellier - INRA, 2 place Pierre Viala F-34060 Montpellier Cedex, Montpellier, France
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Aurélie Hanin / Catherine Denis / Juliette Dibie / Stéphane Dervaux / Catherine Loriot / Thierry Vincelot / Véronique Huchet / Bruno Perret / Dominique Thuault
Published Online: 2017-12-29 | DOI: https://doi.org/10.1515/pacres-2017-0004

Abstract

In this paper,we present the implementation of a dedicated software, MAP-OPT, for optimising the design of ModifiedAtmosphere Packaging of refrigerated fresh, nonrespiring food products. The core principle of this software is to simulate the impact of gas (O2/CO2) exchanges on the growth of gas-sensitive microorganisms in the packed food system. In its simplest way, this tool, associated with a data warehouse storing food, bacteria and packaging properties, allows the user to explore his/her system in a user-friendly manner by adjusting/changing the pack geometry, packaging material and gas composition (mixture of O2/CO2/N2). Via the @Web application, the data warehouse associated with MAP-OPT is structured by an ontology, which allows data to be collected and stored in a standardized format and vocabulary in order to be easily retrieved using a standard querying methodology. In an optimisation approach, the MAP-OPT software enables to determine the packaging characteristics (e.g. gas permeability) suitable for a target application (e.g. maximal bacterial population at the best-before-date). These targeted permeabilities are then used to query the packaging data warehouse using the@Web applicationwhich proposes a ranking of the most satisfying materials for the target application (i.e. packaging materialswhose characteristics are the closest to the target ones identified by the MAP-OPT software). This approach allows a more rational dimensioning of MAP of non-respiring food products by selecting the packaging material fitted to “just necessary” (and not by default, that with the greatest barrier properties). A working example of MAP dimensioning for a strictly anaerobic, CO2-sensitive microorganism, Pseudomonas fluorescens, is given to highlight the usefulness of the software.

Keywords: Software; Predictive microbiology; Modified Atmosphere Packaging; Ontology; Data warehouse; Mass transfer; Decision making strategy

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About the article

Received: 2017-06-07

Accepted: 2017-09-28

Published Online: 2017-12-29


Citation Information: Packaging Research, Volume 2, Issue 1, Pages 28–47, ISSN (Online) 2391-5560, DOI: https://doi.org/10.1515/pacres-2017-0004.

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© 2018 De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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