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Revealing the Usefulness of Aroma Networks to Explain Wine Aroma Properties: A Case Study of Portuguese Wines

机译:揭示香气网络解释葡萄酒香气特性的有用性:以葡萄牙葡萄酒为例

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摘要

Wine aroma is the result of complex interactions between volatile compounds and non-volatile ones and individual perception phenomenon. In this work, an aroma network approach, that links volatile composition (chromatographic data) with its corresponding aroma descriptors was used to explain the wine aroma properties. This concept was applied to six monovarietal wines from Bairrada Appellation (Portugal) and used as a case study. A comprehensive determination of the wines’ volatile composition was done (71 variables, i.e., volatile components), establishing a workflow that combines extraction techniques and gas chromatographic analysis. Then, a bipartite network-based approach consisting of two different nodes was built, one with 19 aroma descriptors, and the other with the corresponding volatile compound(s). To construct the aroma networks, the odor active values were calculated for each determined compound and combined with the bipartite network. Finally, the aroma network of each wine was compared with sensory descriptive analysis. The analysis of the specific aroma network of each wine revealed that Sauvignon Blanc and Arinto white wines present higher fruity (esters) and sweet notes (esters and C norisoprenoids) than Bical wine. Sauvignon Blanc also exhibits higher toasted aromas (thiols) while Arinto and Bical wines exhibit higher flowery (C norisoprenoids) and herbaceous notes (thiols), respectively. For red wines, sweet fruit aromas are the most abundant, especially for Touriga Nacional. Castelão and Touriga Nacional wines also present toasted aromas (thiols). Baga and Castelão wines also exhibit fusel/alcohol notes (alcohols). The proposed approach establishes a chemical aroma fingerprint (aroma ID) for each type of wine, which may be further used to estimate wine aroma characteristics by projection of the volatile composition on the aroma network.
机译:葡萄酒香气是挥发性化合物与非挥发性化合物之间复杂的相互作用以及个人感知现象的结果。在这项工作中,使用了一种将挥发性成分(色谱数据)与其相应的香气描述符联系起来的香气网络方法来解释葡萄酒的香气特性。此概念已应用于来自Bairrada Appellation(葡萄牙)的六种单品种葡萄酒,并用作案例研究。全面确定了葡萄酒的挥发性成分(71个变量,即挥发性成分),建立了将提取技术和气相色谱分析相结合的工作流程。然后,建立了一个基于双向网络的方法,该方法由两个不同的节点组成,一个节点具有19个香气描述符,另一个节点具有相应的挥发性化合物。为了构建香气网络,计算每种确定的化合物的气味活性值,并将其与二元网络结合。最后,将每种葡萄酒的香气网络与感官描述分析进行比较。对每种葡萄酒的特定香气网络的分析表明,长相思和阿林托白葡萄酒的果味(酯)和甜味(酯和去甲肾上腺类胡萝卜素)比比卡尔葡萄酒高。长相思也表现出较高的烘烤香气(硫醇),而阿林托和比卡葡萄酒则分别具有较高的花香(去甲肾上腺类胡萝卜素)和草本香气(硫醇)。对于红酒,甜的水果香气最为丰富,尤其是对于Touriga Nacional。 Castelão和Touriga Nacional葡萄酒还具有烘烤的香气(硫醇)。 Baga和Castelão葡萄酒还具有杂音/酒精味(酒精)。所提出的方法为每种类型的葡萄酒建立了化学香气指纹(香气ID),可以通过将挥发性成分投射到香气网络上,进一步用于估计葡萄酒的香气特征。

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