All-Russian Scientific Research Institute of Brewing, Beverage and Wine Industry-Branch of V.M. Gorbatov Federal Research Center for Food Systems, Brewing Technology Department, 119021 Moscow, Russia.
Molecules. 2022 Jan 24;27(3):740. doi: 10.3390/molecules27030740.
BACKGROUND: The article considers the phenolic hop compounds' effect on the quality indicators of finished beer. The topic under consideration is relevant since it touches on the beer matrix colloidal stability when compounds with potential destabilizing activity are introduced into it from the outside. METHODS: The industrial beer samples' quality was assessed by industry-accepted methods and using instrumental analysis methods (high-performance liquid chromatography methods-HPLC). The obtained statistical data were processed by the Statistics program (Microsoft Corporation, Redmond, WA, USA, 2006). RESULTS: The study made it possible to make assumptions about the functional dependence of the iso-α-bitter resins and isoxanthohumol content in beer samples. Mathematical analysis indicate interactions between protein molecules and different malted grain and hop compounds are involved in beer structure, in contrast to dry hopped beer, where iso-a-bitter resins, protein, and coloring compounds were significant, with a lower coefficient of determination. The main role of rutin in the descriptor hop bitterness has been established in kettle beer hopping technology, and catechin in dry beer hopping technology, respectively. The important role of soluble nitrogen and β-glucan dextrins in the perception of sensory descriptors of various technologies' beers, as well as phenolic compounds in relation to the formation of bitterness and astringency of beer of classical technology and cold hopping, has been shown. CONCLUSIONS: The obtained mathematical relationships allow predicting the resulting beer quality and also make it possible to create the desired flavor profiles.
背景:本文研究了酚类啤酒花化合物对成品啤酒质量指标的影响。考虑到在从外部引入潜在不稳定活性化合物时,啤酒基质胶体稳定性的问题,因此这个主题具有现实意义。
方法:采用行业认可的方法和仪器分析方法(高效液相色谱法-HPLC)评估工业啤酒样品的质量。使用 Statistics 程序(Microsoft Corporation,Redmond,WA,USA,2006)对获得的统计数据进行处理。
结果:研究结果使我们能够对啤酒样品中异-α-苦味树脂和异黄腐酚含量的功能依赖性做出假设。数学分析表明,与干投啤酒不同,在啤酒结构中涉及到蛋白质分子与不同麦芽和啤酒花化合物之间的相互作用,在干投啤酒中,异-α-苦味树脂、蛋白质和着色化合物的影响更为显著,但决定系数较低。在煮麦啤酒的添加啤酒花技术中,建立了芦丁在描述性啤酒花苦味方面的主要作用,儿茶素在干啤酒添加啤酒花技术中的主要作用。在各种技术啤酒的感官描述符感知方面,可溶性氮和β-葡聚糖糊精以及与经典技术和冷添加啤酒的苦味和涩味形成有关的酚类化合物具有重要作用。
结论:所获得的数学关系允许预测最终啤酒的质量,并且还能够创造出所需的风味特征。
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