Mathematical modelling of modified atmosphere package: An engineering approach to design packaging systems for fresh-cut produce

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Consumer demand for freshness and for convenience food has led to the evolution and increased production of fresh-cut fruits and vegetables. Moreover, thismay represent away to increase the consumption of fresh fruits and vegetables and therefore be a benefit for the crops-sector economy. Because the increase in convenience for the consumer has a detrimental effect on product quality, attention must be focused on extending shelf-life while maintaining quality. Modified atmosphere packaging (MAP) is a packaging technology that, by making qualitative or quantitative changes to the atmosphere composition around the product, can improve product preservation. However,MAP must be carefully designed, as a poorly designed system may be ineffective or even shorten product shelf-life. Thus, whereas in the past a trial-and-error approach to packaging of food was predominant, nowadays the need has emerged for an engineering approach to properly design a package to improve product shelf-life. Therefore, to ensure an appropriate gas composition during the product’s shelf-life, a model should take into account all the variables that play a critical role, such as product respiration and its mass; packaging material and its geometry; and environmental conditions such as temperature, relative humidity, and gas composition. In this chapter, a procedure to design a package for fresh-cut produce is described. An engineering approach is used to develop a mathematical model with the experimental data obtained for product respiration and package permeability and to solve the mass balance equations using computer software. A case study on fresh-cut apples is reported to validate the model.

Original languageEnglish
Title of host publicationSpringer Optimization and Its Applications
PublisherSpringer International Publishing
Pages455-483
Number of pages29
DOIs
Publication statusPublished - 2009
Externally publishedYes

Publication series

NameSpringer Optimization and Its Applications
Volume25
ISSN (Print)1931-6828
ISSN (Electronic)1931-6836

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