Quality characterization of Andean blackberry fruits (Rubus glaucus Benth.) in different maturity stages in Antioquia, Colombia

Product quality and safety are two essential characteristics for the fruit market, making it necessary to normalize and standardize processes in order to improve their commercialization. In this study, the quality of two Andean blackberry cultivars grown in two regions of Antioquia (Envigado and Gua...

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Autores:
Carvalho, Catarina Pedro
Betancour, Jorge Andrés
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/58502
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/58502
http://bdigital.unal.edu.co/55285/
Palabra clave:
57 Ciencias de la vida; Biología / Life sciences; biology
58 Plantas / Plants
Rubus glaucus
NTC 4106
physico-chemical parameters
color index
linear models
postharvest
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:Product quality and safety are two essential characteristics for the fruit market, making it necessary to normalize and standardize processes in order to improve their commercialization. In this study, the quality of two Andean blackberry cultivars grown in two regions of Antioquia (Envigado and Guarne), Colombia, from different maturity stages as defined by the Norma Tecnica Colombiana 7146 (NTC Spanish) was characterized. The parameters that were found suitable for the fruit quality characterization were: weight, total solid soluble content (TSS), titratable acidity (TA), maturity index (MI), color index (CI) and firmness (F). The equatorial diameter (ED) maintained its importance relative to the standard and the market, along with the juice yield (JY). The quotient a*/b* presented the best correlation with the visual color scale as defined in the standard. The TSS ranges defined in NTC 4106 were not verified in this studied for fruits grown in the agroclimatic conditions of Antioquia. Linear regression models are a useful tool for making quick and easy comparisons and estimations of the quality parameters.