Determining the influence of raw milk protein composition on the yield of cheese and its nutrient content

Q3 Mathematics
V. Ladyka, N. Bolgova, Tetiana Synenko, Yuriy Skliarenko, Victoriia Vechorka
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引用次数: 0

Abstract

Cheese production is a complex process that is influenced by many factors: protein:fat ratio, acidity, and type of rennet. An option for improving the profitability of the cheese industry is the genetic selection of dairy cows to produce milk with good rennet protein coagulation. The object of the study is the technology of cheeses made from milk from cows with different β-casein genotypes (А1А1, А1А2, А2А2). The subject of the study is the physical-chemical parameters of milk from cows with different genotypes for β-casein; yield of cheese from this milk and its quality indicators. Samples of Gouda cheese were produced according to traditional technology. The research established that the quality indicators of milk samples are typical for fresh cow's milk. The content of fat, protein, and dry matter in the milk of cows with the β-casein genotype A2A2 were slightly higher compared to A1A1 and A1A2. The study of the quality indicators of the cheese samples showed that the type of β-casein did not affect the organoleptic properties of the cheese. However, according to the content of the main chemical components, cheeses made from A1A2 milk had a higher content of dry matter and protein (61,6 % and 19,2 % on average, respectively) and a lower fat content (37.2 %). The amino acid profile of cheese from milk of cows with β-casein A1A2 and A2A2 genotypes showed a higher total content of amino acids – 14.89 mg/g and 13.84 mg/g, respectively. Calculations of cheese yield showed that cheese yield from milk of cows with β-casein genotype A1A2 was higher (mean value 13.1 %) than with A1A1 and A2A2. The obtained results are of practical importance, as it is possible to take into account how changes in the β-casein genotype in milk can affect the yield of cheese, and therefore, the profitability of production
确定原料奶蛋白质成分对奶酪产量及其营养成分的影响
奶酪生产是一个复杂的过程,受许多因素的影响:蛋白质与脂肪的比例、酸度和凝乳酶的类型。提高奶酪行业利润率的一种方法是对奶牛进行遗传选育,使其生产的牛奶具有良好的凝乳酶蛋白凝固性。本研究的对象是使用不同β-酪蛋白基因型(А1А1、А1А2、А2А2)奶牛的牛奶制作奶酪的技术。该研究的主题是不同基因型奶牛所产牛奶中β-酪蛋白的物理化学参数、奶酪产量及其质量指标。高达奶酪样品是按照传统工艺生产的。研究表明,牛奶样本的质量指标是鲜牛奶的典型指标。与 A1A1 和 A1A2 相比,β-酪蛋白基因型为 A2A2 的奶牛牛奶中的脂肪、蛋白质和干物质含量略高。对奶酪样品质量指标的研究表明,β-酪蛋白的类型并不影响奶酪的感官特性。然而,根据主要化学成分的含量,用 A1A2 牛奶制成的奶酪干物质和蛋白质含量较高(平均分别为 61.6 % 和 19.2 %),脂肪含量较低(37.2 %)。由 A1A2 和 A2A2 基因型奶牛的牛奶制成的奶酪的氨基酸谱显示,氨基酸总含量较高,分别为 14.89 毫克/克和 13.84 毫克/克。对奶酪产量的计算显示,β-酪蛋白基因型为 A1A2 的奶牛的奶酪产量(平均值为 13.1%)高于 A1A1 和 A2A2。获得的结果具有重要的实际意义,因为可以考虑牛奶中 β-酪蛋白基因型的变化如何影响奶酪的产量,从而影响生产的利润。
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来源期刊
Eastern-European Journal of Enterprise Technologies
Eastern-European Journal of Enterprise Technologies Mathematics-Applied Mathematics
CiteScore
2.00
自引率
0.00%
发文量
369
审稿时长
6 weeks
期刊介绍: Terminology used in the title of the "East European Journal of Enterprise Technologies" - "enterprise technologies" should be read as "industrial technologies". "Eastern-European Journal of Enterprise Technologies" publishes all those best ideas from the science, which can be introduced in the industry. Since, obtaining the high-quality, competitive industrial products is based on introducing high technologies from various independent spheres of scientific researches, but united by a common end result - a finished high-technology product. Among these scientific spheres, there are engineering, power engineering and energy saving, technologies of inorganic and organic substances and materials science, information technologies and control systems. Publishing scientific papers in these directions are the main development "vectors" of the "Eastern-European Journal of Enterprise Technologies". Since, these are those directions of scientific researches, the results of which can be directly used in modern industrial production: space and aircraft industry, instrument-making industry, mechanical engineering, power engineering, chemical industry and metallurgy.
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