Mead fermentation parameters: Optimization by response surface methodology

IF 1.3 Q4 FOOD SCIENCE & TECHNOLOGY
Saša Papuga, Igor Pečanac, Maja Stojković, A. Savić, Ana Velemir
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引用次数: 2

Abstract

Introduction. This article presents the development of mathematical models related to the effect of the initial content of dry matter, yeast, and yeast energizer on the fermentation rate, the alcohol content, and the dry matter content in the finished product – mead. Study objects and methods. The mathematical models were developed by using the response surface methodology (RSM). The effect of yeast, dry matter, and yeast energizer contents were tested in concentration ranges of 150–600 mg/L, 16.3–24.4%, and 140–500 mg/L, respectively. The starting substrates used were honeydew honey and 10% apple juice. Yeast was rehydrated and added in different amounts to obtain required concentrations. Initial dry matter concentrations were measured by a refractometer. At the end of fermentation, oenological parameters of mead, namely dry matter content, pH, and ethanol yield, were determined according to standard methods. Results and discussion. The statistical estimation of the developed models and the individual model parameters showed that the initial dry matter content had a significant effect on the content of alcohol and dry matter in the final product. While, the initial content of yeast and yeast energizer did not have a significant effect in the tested concentration ranges. In addition, it was proved that the initial content of dry matter and yeast energizer had a significant effect on the fermentation rate, i.e. on the course of fermentation, which was described by a second-degree polynomial. Conclusion. We determined the optimum content of dry matter (24.4%), amount of yeast (150 mg/L), and concentration of yeast energizer (140 mg/L) in the initial raw material which provided the maximum alcohol yield at a consistent fermentation rate.
响应面法优化蜂蜜酒发酵参数
介绍本文介绍了与干物质、酵母和酵母增能剂的初始含量对发酵速率、酒精含量和成品蜂蜜酒干物质含量的影响有关的数学模型的发展。研究对象和方法。采用响应面法建立了数学模型。在150–600 mg/L、16.3–24.4%和140–500 mg/L的浓度范围内,分别测试了酵母、干物质和酵母增能剂含量的影响。使用的起始基质是蜜露蜂蜜和10%的苹果汁。酵母被再水化并以不同的量加入以获得所需的浓度。用折射计测量初始干物质浓度。发酵结束时,根据标准方法测定蜂蜜酒的酿酒参数,即干物质含量、pH值和乙醇产量。结果和讨论。对所开发的模型和单个模型参数的统计估计表明,初始干物质含量对最终产品中的酒精和干物质含量有显著影响。而酵母和酵母增能剂的初始含量在测试的浓度范围内没有显著影响。此外,用二次多项式描述了干物质和酵母增能剂的初始含量对发酵速率,即发酵过程有显著影响。结论我们确定了初始原料中干物质的最佳含量(24.4%)、酵母的量(150mg/L)和酵母增能剂的浓度(140mg/L),在恒定的发酵速率下提供了最大的酒精产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Foods and Raw Materials
Foods and Raw Materials FOOD SCIENCE & TECHNOLOGY-
CiteScore
3.70
自引率
20.00%
发文量
39
审稿时长
24 weeks
期刊介绍: The journal «Foods and Raw Materials» is published from 2013. It is published in the English and German languages with periodicity of two volumes a year. The main concern of the journal «Foods and Raw Materials» is informing the scientific community on the works by the researchers from Russia and the CIS, strengthening the world position of the science they represent, showing the results of perspective scientific researches in the food industry and related branches. The main tasks of the Journal consist the publication of scientific research results and theoretical and experimental studies, carried out in the Russian and foreign organizations, as well as on the authors'' personal initiative; bringing together different categories of researchers, university and scientific intelligentsia; to create and maintain a common space of scientific communication, bridging the gap between the publications of regional, federal and international level.
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