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Postharvest freezing process assessment of the blueberry structure in three acts: Bioimpedance, color, and granulometry analysis

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dc.contributor.author Arteaga H. es_PE
dc.contributor.author Robleto-Martinez E. es_PE
dc.contributor.author Carolina de Sousa Silva A. es_PE
dc.contributor.author Souto S. es_PE
dc.contributor.author Batista J. es_PE
dc.contributor.author Xavier Costa E.J. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2021
dc.description This research was funded by FONDECYT-CONCYTEC (grant contract number 271-2015-FONDECYT ), the São Paulo Research Foundation (FAPESP, Brazil) for funding the project N° 2018/05871-3 and CNPq proc . Num. 305295/2018-7 .
dc.description.abstract The bioelectrical impedance, cell granulometry and the color of the freeze-thawed blueberries were investigated. The blueberries were subjected to freezing at −18 °C for 135 min, during this process, groups were removed to every 9 min, and stored at 4 °C until further analysis. Bioelectrical impedance, color, pH, total soluble solids and cell granulometry were measured. The characteristics of bioelectrical impedance, cell granulometry and color were analyzed by computational algorithms, which allowed extracting characteristic of blueberries during the freezing process. The results showed progressive loss of the cellular structure during freezing, this behavior was associated with the bioimpedance parameters. The cells damage also influenced color parameters, and cell granulometry. The color followed the direction toward darkness and more intense red-blue tones, which suggest the migration of pigments from the blueberry's skin towards the flesh. In conclusion, evaluation of the color and cell granulometry by computational algorithms with bioelectrical impedance provides a powerful tool for evaluating cell damage in blueberries during the freezing process. © 2021
dc.description.sponsorship Fondo Nacional de Desarrollo Científico y Tecnológico - Fondecyt
dc.identifier.doi https://doi.org/10.1016/j.lwt.2021.112237
dc.identifier.scopus 2-s2.0-85111717483
dc.identifier.uri https://hdl.handle.net/20.500.12390/3042
dc.language.iso eng
dc.publisher Academic Press
dc.relation.ispartof LWT
dc.rights info:eu-repo/semantics/openAccess
dc.subject Computational vision
dc.subject Blueberry properties es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#1.05.08
dc.title Postharvest freezing process assessment of the blueberry structure in three acts: Bioimpedance, color, and granulometry analysis
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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