Finding correlations between hop catalogs and real hoppy character in brewery conditions

Danilo Legisa, Hernan Mengoni
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Abstract

Brewing recipe design is mainly based on brewer’s expertise, information available in catalogs and certificates of analysis (CoA’s). Hop schedule design and formulation has become an essential topic since hoppy craft beers took the scene. But how accurate is the flavor profile information provided in catalogs? How useful is the chemical composition profile information in CoA’s? Besides current research and tons of reported experiences, hops impact is still a mystery, and topics like biotransformation are black-boxes for brewers. In this study, nine single hopped beers were brewed, and a trained panel conducted sensorial beer analysis. Then, to asses hop impact, qualitative and process-related-quantitative beer characteristics were contrasted to find valuable correlations and trends between hop catalogs and final beers. Discrepancies with catalog qualitative data were reported. In addition to what is already described in the literature, here we describe how α-acids, linalool, myrcene, and geraniol (despite the classical use for these compounds) could predict positive and negative hop impact of nine different hop varieties on bitterness, flavor, and aroma, when they are applied in different brewing process steps. Also, with this pipeline we stand the basis of a tool to be improved, available for brewers, to better predict their brews and assess new hop varieties in real-life pilot brewing set ups.
啤酒花品类与啤酒花真实品质的相关性研究
酿造配方设计主要基于酿酒商的专业知识、产品目录和分析证书(CoA’s)中提供的信息。自从啤酒花精酿啤酒问世以来,啤酒花的配方设计就成为一个重要的话题。但是目录中提供的风味信息有多准确呢?CoA中的化学成分信息有多有用?除了目前的研究和大量报道的经验,啤酒花的影响仍然是一个谜,像生物转化这样的话题对酿酒商来说是一个黑盒子。在这项研究中,酿造了九种单啤酒花啤酒,并由一个训练有素的小组进行了感官啤酒分析。然后,为了评估啤酒花的影响,对比了啤酒花目录和最终啤酒之间有价值的相关性和趋势的定性和工艺相关的定量啤酒特征。报告了与目录定性数据的差异。除了文献中已经描述的内容之外,本文还描述了α-酸、芳樟醇、月桂烯和香叶醇(尽管这些化合物的经典用途)如何在不同的酿造工艺步骤中应用时,预测九种不同啤酒花品种对苦味、风味和香气的正面和负面影响。此外,有了这个管道,我们就有了一个有待改进的工具的基础,可供酿酒商使用,以便更好地预测他们的啤酒,并在现实生活中的试点酿造设置中评估新的啤酒花品种。
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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