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Enlarging Knowledge on Lager Beer Volatile Metabolites Using Multidimensional Gas Chromatography

机译:使用多维气相色谱法扩大贮藏啤酒挥发性代谢物的知识

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摘要

Foodomics, emergent field of metabolomics, has been applied to study food system processes, and it may be useful to understand sensorial food properties, among others, through foods metabolites profiling. Thus, as beer volatile components represent the major contributors for beer overall and peculiar aroma properties, this work intends to perform an in-depth profiling of lager beer volatile metabolites and to generate new data that may contribute for molecules’ identification, by using multidimensional gas chromatography. A set of lager beers were used as case-study, and 329 volatile metabolites were determined, distributed over 8 chemical families: acids, alcohols, esters, monoterpenic compounds, norisoprenoids, sesquiterpenic compounds, sulfur compounds, and volatile phenols. From these, 96 compounds are reported for the first time in the lager beer volatile composition. Around half of them were common to all beers under study. Clustering analysis allowed a beer typing according to production system: macro- and microbrewer beers. Monoterpenic and sesquiterpenic compounds were the chemical families that showed wide range of chemical structures, which may contribute for the samples’ peculiar aroma characteristics. In summary, as far as we know, this study presents the most in-depth lager beer volatile composition, which may be further used in several approaches, namely, in beer quality control, monitoring brewing steps, raw materials composition, among others.
机译:食谱,新代谢组织的紧急领域已被应用于研究食品系统过程,可以通过食品代谢物分析来了解感官食品特性可能是有用的。因此,随着啤酒挥发性组分代表啤酒的主要贡献者总体和特殊的香气性质,该工作旨在通过使用多维气体来表现贮藏啤酒挥发性代谢物的深入探讨,并产生可能有助于分子识别的新数据色谱法。将一组贮藏啤酒被用作案例研究,并确定329种挥发性代谢物,分布在8种化学家族:酸,醇,酯,单萜化合物,氟异戊二烯,均质萜烯化合物,硫化合物和挥发性酚。从这些,在啤酒挥发性组合物中首次报告96种化合物。在研究中的所有啤酒中,他们中的一半是常见的。群集分析允许根据生产系统的啤酒键入:宏观和微生物啤酒。单色细胞和倍二萜类化合物是表现出广泛的化学结构的化学家族,这可能有助于样品的特殊香气特征。总之,据我们所知,本研究提出了最深入的啤酒挥发性组合物,可以在几种方法中进一步使用,即在啤酒质量控制中,监测酿造步骤,原料组合物等。

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