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Berry Jelly: Optimization Through Desirability-Based Mixture Design

delete2019-05-23
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PRE
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M
Maria Cecília Evangelista Vasconcelos Schiassi *
D
Derlyene Lucas SALGADO
B
Beatriz S. Meirelles
A
Amanda Maria Teixeira Lago
F
Fabiana Queiroz
P
Paula Nogueira Curi
R
Rafael Pio
V
Vanessa Rios de Souza
DOI:10.1111/1750-3841.14634delete
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摘要

摘要

En 中文
Berries are among the nutritionally richest fruits and the mixing of these fruits can originate products with peculiar characteristics and added value, since the fruit mixture allows adding nutritional and sensory value to the final product. Thus, in this study we aimed to optimize a mixed berry jelly formulation of red fruit (blackberry, blueberry, and strawberry), through the mixture design, desirability function, and response surface methodology. The fruit mixture influenced the physical-chemical, sensory, and nutritional characteristics of mixed jelly, and it was observed that the mixture of two or more fruits may increase the acceptance of the product and even its nutritional value. According to the contour curve graph for the sensory and nutritional desirability function, the ideal mixed berry jelly should contain 55% to 100% blackberry, 0% to 20% blueberry, and 0% to 40% strawberry. The exact proportion of fruit may depend on seasonality or the commercial value of the fruit. Practical Application In Brazil, there are many blackberry, blueberry, and strawberry cultivars grown in subtropical regions and high perishability hinders the fruit consumption in fresh form. In this context, through this study it was possible to verify which fruits are more suitable for processing in the form of jelly, as well as to optimize, based on sensory and nutritional characteristics, a mixed berry jelly formulation with greater attractiveness to consumers.
Keyword:
blueberry
blackberry
desirability function
mixture design
strawberry
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期刊

Journal of Food Science 封面图
Journal of Food Science
IF:
3.4
论文数:
1.2W
被引数:
3.2W

机构

Universidade Federal de Lavras 封面图
Universidade Federal de Lavras
学者数:
5.7K
论文数: 3.3K
被引数: 3.5K
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