Optimization of Nutritional and Sensory Properties of Unleavened Flatbread Developed From Maize-Boiled Rhizome of Water Lily—Fish

IF 3.5 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Alemu Lema Abelti, Tilahun A. Teka, Geremew Bultosa
{"title":"Optimization of Nutritional and Sensory Properties of Unleavened Flatbread Developed From Maize-Boiled Rhizome of Water Lily—Fish","authors":"Alemu Lema Abelti,&nbsp;Tilahun A. Teka,&nbsp;Geremew Bultosa","doi":"10.1002/fsn3.70192","DOIUrl":null,"url":null,"abstract":"<p>The aim of this study was to optimize nutritional composition, mineral contents, and overall sensory acceptability of unleavened flatbread developed from maize, boiled rhizome of water lily, and dried fish fillet powder. A mixture containing 50%–80% maize, 15%–30% boiled water lily rhizome, and 5%–20% dried fish fillet powder was mixed using the D-optimal mixture design. Flatbread developed from maize flour was used as the control. The results showed that the linear model described well changes in crude protein, total carbohydrate, gross energy value, sodium, potassium, iron, and zinc. The lack of fit was non-significant (<i>p</i> &gt; 0.05) for all the linear models, indicating that the linear model equations fit the data well. The addition of boiled rhizome of water lily flour and dried fish fillet powder to maize improved protein content, potassium, calcium, magnesium, iron, and zinc but decreased fat, fiber, carbohydrate, and gross energy value. Numerical optimization results showed that a blending ratio containing 62.62% maize, 29.92% boiled rhizome of water lily, and 7.45% dried fish fillet powder resulted in the best formulation with a desirability function value of 0.516. It can be concluded that this bread can potentially reduce protein energy malnutrition and micronutrient deficiencies.</p>","PeriodicalId":12418,"journal":{"name":"Food Science & Nutrition","volume":"13 4","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fsn3.70192","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Science & Nutrition","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/fsn3.70192","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

The aim of this study was to optimize nutritional composition, mineral contents, and overall sensory acceptability of unleavened flatbread developed from maize, boiled rhizome of water lily, and dried fish fillet powder. A mixture containing 50%–80% maize, 15%–30% boiled water lily rhizome, and 5%–20% dried fish fillet powder was mixed using the D-optimal mixture design. Flatbread developed from maize flour was used as the control. The results showed that the linear model described well changes in crude protein, total carbohydrate, gross energy value, sodium, potassium, iron, and zinc. The lack of fit was non-significant (p > 0.05) for all the linear models, indicating that the linear model equations fit the data well. The addition of boiled rhizome of water lily flour and dried fish fillet powder to maize improved protein content, potassium, calcium, magnesium, iron, and zinc but decreased fat, fiber, carbohydrate, and gross energy value. Numerical optimization results showed that a blending ratio containing 62.62% maize, 29.92% boiled rhizome of water lily, and 7.45% dried fish fillet powder resulted in the best formulation with a desirability function value of 0.516. It can be concluded that this bread can potentially reduce protein energy malnutrition and micronutrient deficiencies.

Abstract Image

玉米煮睡莲鱼根发酵面饼的营养和感官特性优化
以玉米、水煮睡莲和鱼片粉为原料,对无酵面饼的营养成分、矿物质含量和整体感官接受度进行了优化研究。采用d -最优混合设计,将50% ~ 80%的玉米、15% ~ 30%的煮睡莲、5% ~ 20%的干鱼片粉混合在一起。以玉米粉制成的面饼为对照。结果表明,该线性模型较好地描述了粗蛋白质、总碳水化合物、总能值、钠、钾、铁和锌的变化。所有线性模型的拟合缺失均不显著(p > 0.05),说明线性模型方程与数据拟合良好。在玉米中添加煮熟的睡莲粉和鱼片干粉,提高了蛋白质、钾、钙、镁、铁和锌的含量,降低了脂肪、纤维、碳水化合物和总能值。数值优化结果表明,玉米62.62%、睡莲煮根茎29.92%、鱼片粉7.45%的混合比例为最佳配方,理想函数值为0.516。由此可见,该面包具有减少蛋白质、能量营养不良和微量营养素缺乏的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Food Science & Nutrition
Food Science & Nutrition Agricultural and Biological Sciences-Food Science
CiteScore
7.40
自引率
5.10%
发文量
434
审稿时长
24 weeks
期刊介绍: Food Science & Nutrition is the peer-reviewed journal for rapid dissemination of research in all areas of food science and nutrition. The Journal will consider submissions of quality papers describing the results of fundamental and applied research related to all aspects of human food and nutrition, as well as interdisciplinary research that spans these two fields.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信