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A global visual method for measuring the deterioration of strawberries in MAP
Evaluating the quality changes of packed strawberries during storage requires multiple, time consuming and costly measurements such as sensorial, chemical and decay identification. In order to efficiently assess the quality of strawberries in Modified Atmosphere Packaging (MAP) while reducing the nu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111241/ https://www.ncbi.nlm.nih.gov/pubmed/30167384 http://dx.doi.org/10.1016/j.mex.2018.07.012 |
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author | Matar, Céline Gaucel, Sébastien Gontard, Nathalie Guilbert, Stéphane Guillard, Valérie |
author_facet | Matar, Céline Gaucel, Sébastien Gontard, Nathalie Guilbert, Stéphane Guillard, Valérie |
author_sort | Matar, Céline |
collection | PubMed |
description | Evaluating the quality changes of packed strawberries during storage requires multiple, time consuming and costly measurements such as sensorial, chemical and decay identification. In order to efficiently assess the quality of strawberries in Modified Atmosphere Packaging (MAP) while reducing the number of analysis done, we propose to gather the main visual quality changes under one unique, overall measurement. For this end, a protocol associated to a deterioration grid was built to evaluate surface deterioration as a function of time considering color change, texture softening and microorganism development. The developed method has permitted to build the deterioration kinetic of strawberries packed in different conditions (MAP or no MAP). It allows to mimic the quality analysis made by the consumer, at a glance, during purchase. To the best of our knowledge, the presented method is a breakthrough unlike most common usual methods mainly relying on the number of spoiled strawberries. • Global measurement of the deterioration encompassing microorganism development, color change and texture softening. • An annotation grid built to be used as reference for the attribution of the percentage of strawberries’ deterioration. • Measurements of a percentage of surface deterioration was found more accurate than counting the number of rotten strawberries. |
format | Online Article Text |
id | pubmed-6111241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61112412018-08-30 A global visual method for measuring the deterioration of strawberries in MAP Matar, Céline Gaucel, Sébastien Gontard, Nathalie Guilbert, Stéphane Guillard, Valérie MethodsX Agricultural and Biological Science Evaluating the quality changes of packed strawberries during storage requires multiple, time consuming and costly measurements such as sensorial, chemical and decay identification. In order to efficiently assess the quality of strawberries in Modified Atmosphere Packaging (MAP) while reducing the number of analysis done, we propose to gather the main visual quality changes under one unique, overall measurement. For this end, a protocol associated to a deterioration grid was built to evaluate surface deterioration as a function of time considering color change, texture softening and microorganism development. The developed method has permitted to build the deterioration kinetic of strawberries packed in different conditions (MAP or no MAP). It allows to mimic the quality analysis made by the consumer, at a glance, during purchase. To the best of our knowledge, the presented method is a breakthrough unlike most common usual methods mainly relying on the number of spoiled strawberries. • Global measurement of the deterioration encompassing microorganism development, color change and texture softening. • An annotation grid built to be used as reference for the attribution of the percentage of strawberries’ deterioration. • Measurements of a percentage of surface deterioration was found more accurate than counting the number of rotten strawberries. Elsevier 2018-07-20 /pmc/articles/PMC6111241/ /pubmed/30167384 http://dx.doi.org/10.1016/j.mex.2018.07.012 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Agricultural and Biological Science Matar, Céline Gaucel, Sébastien Gontard, Nathalie Guilbert, Stéphane Guillard, Valérie A global visual method for measuring the deterioration of strawberries in MAP |
title | A global visual method for measuring the deterioration of strawberries in MAP |
title_full | A global visual method for measuring the deterioration of strawberries in MAP |
title_fullStr | A global visual method for measuring the deterioration of strawberries in MAP |
title_full_unstemmed | A global visual method for measuring the deterioration of strawberries in MAP |
title_short | A global visual method for measuring the deterioration of strawberries in MAP |
title_sort | global visual method for measuring the deterioration of strawberries in map |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111241/ https://www.ncbi.nlm.nih.gov/pubmed/30167384 http://dx.doi.org/10.1016/j.mex.2018.07.012 |
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