Literature DB >> 26471649

Image analysis to evaluate the browning degree of banana (Musa spp.) peel.

Jeong-Seok Cho1, Hyeon-Jeong Lee1, Jung-Hoon Park1, Jun-Hyung Sung1, Ji-Young Choi1, Kwang-Deog Moon2.   

Abstract

Image analysis was applied to examine banana peel browning. The banana samples were divided into 3 treatment groups: no treatment and normal packaging (Cont); CO2 gas exchange packaging (CO); normal packaging with an ethylene generator (ET). We confirmed that the browning of banana peels developed more quickly in the CO group than the other groups based on sensory test and enzyme assay. The G (green) and CIE L(∗), a(∗), and b(∗) values obtained from the image analysis sharply increased or decreased in the CO group. And these colour values showed high correlation coefficients (>0.9) with the sensory test results. CIE L(∗)a(∗)b(∗) values using a colorimeter also showed high correlation coefficients but comparatively lower than those of image analysis. Based on this analysis, browning of the banana occurred more quickly for CO2 gas exchange packaging, and image analysis can be used to evaluate the browning of banana peels.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Banana peel; Browning degree; Correlation coefficient; Image analysis; MATLAB

Mesh:

Year:  2015        PMID: 26471649     DOI: 10.1016/j.foodchem.2015.08.103

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Evaluation of gas holes in "Queijo de Nisa" PDO cheese using computer vision.

Authors:  João Dias; Patricia Lage; Ana Garrido; Eliana Machado; Cristina Conceição; Sandra Gomes; António Martins; Ana Paulino; Maria F Duarte; Nuno Alvarenga
Journal:  J Food Sci Technol       Date:  2020-07-11       Impact factor: 2.701

  1 in total

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