采用混合设计法研究葡萄马克作为糖和小麦粉的部分替代品对蛋糕中多酚类物质的生物可及性、工艺、感官和品质的影响

IF 1.6 4区 农林科学
Kubra Bursa, Goksen Isik, R. Yıldırım, Gorkem Ozulku, Nasim Kian-pour, O. S. Toker, I. Palabiyik, M. Gulcu
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引用次数: 0

摘要

摘要本研究旨在对葡萄马克(GM)在蛋糕配方中的应用进行优化,以获得理想的工艺、营养和感官特性。采用转基因(0 ~ 20%)部分替代小麦粉(40 ~ 50%)和糖(40 ~ 50%)。饼样中总多酚、后消化和生物可及性变化范围为65.49 ~ 462.07;13.34 ~ 608.62 mg GAE/g, 23.42 ~ 315.47%。面糊的弹性模量高于粘性模量,说明面糊具有弹性。硬度为2.20 ~ 4.22 N,弹性为0.85 ~ 0.98 mm。混合设计预测结果表明,以50%小麦粉、48.73%糖、1.94%转基因玉米为最佳配方,可优化其感官性能。由此可见,利用转基因技术可以开发出具有良好营养成分、功能、感官和品质属性的蛋糕。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of grape marc, as a partial replacer of sugar and wheat flour, on the bioaccessibility of polyphenols, technological, sensory, and quality properties of cake by mixture design approach
Abstract This investigation aimed to valorize grape marc (GM) in the formulation of cakes for ideal technological, nutritional and organoleptic properties. The GM (0–20%) was used for the partial substitution of wheat flour (40–50%) and sugar (40–50%). Total polyphenols in the cake samples, their post digestion, and bioaccessibility varied from 65.49–462.07; 13.34–608.62 mg GAE/g, and 23.42–315.47%, respectively. The values of the elastic modulus of the batter were higher than those of the viscous modulus, indicating the elastic behavior of the cakes. The hardness and springiness ranged from 2.20–4.22 N, and 0.85–0.98 mm, respectively. The results predicted by mixture design revealed that the samples including 50% wheat flour, 48.73% sugar, and 1.94% GM were the best formulation for the optimization of organoleptic properties. According to the results, GM can be used to develop cakes with a good nutritional composition as well as functional, sensory, and quality attributes at the industrial scale.
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来源期刊
International Journal of Food Engineering
International Journal of Food Engineering 农林科学-食品科技
CiteScore
3.20
自引率
0.00%
发文量
52
审稿时长
3.8 months
期刊介绍: International Journal of Food Engineering is devoted to engineering disciplines related to processing foods. The areas of interest include heat, mass transfer and fluid flow in food processing; food microstructure development and characterization; application of artificial intelligence in food engineering research and in industry; food biotechnology; and mathematical modeling and software development for food processing purposes. Authors and editors come from top engineering programs around the world: the U.S., Canada, the U.K., and Western Europe, but also South America, Asia, Africa, and the Middle East.
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