模型酒精基质中n -杂环化合物的感官表征:乙醇和几种化学特征对香气感知的影响

IF 2.1 3区 农林科学 Q3 CHEMISTRY, APPLIED
Agathe Goullet, Farnaz Hanaei, Nadine Vallet, Marie-Fran?oise Nonier, Nathalie Vivas, Nicolas Vivas, Magali Picard
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引用次数: 0

摘要

在橡木桶的成熟过程中,经过复杂的转化过程,酒体的酒香会呈现出多种细微的变化,其中烘焙和坚果的香味经常被识别出来。在制桶的加热过程中产生的氮杂环(吡嗪、噻唑、吡咯)有助于感知这些细微差别。然而,到目前为止,他们在精神矩阵中的特定感官特征还没有得到很好的研究。目前的研究包括对九个目标n -杂环分子的整体嗅觉特征,这些分子先前在橡木中发现,并在烈酒中检测到。在第一步中,嗅觉感知阈值(检测和识别)在酒精模型介质(23%的氢酒精溶液,pH 4)中测量,揭示了在这种水平下乙醇的存在对所研究化合物的嗅觉感知的影响最小。对n -杂环的第一个感官描述也突出了大量的芳香细微差别,主要与木材的语义领域有关(坚果、烤、烟熏、辛辣)。第二步,根据训练有素的专家小组给出的相应强度分数,编译所研究分子的关键芳香属性的概况。主成分分析结合层次聚类分析对n -杂环化合物的感官相似性进行了分类。酒精模型基质中乙醇的存在不影响n -杂环的检测和识别阈值。木材衍生的细微差别是表征所研究的n -杂环的最具代表性的香气。化学环上的官能团修饰了n -杂环的芳香感觉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A sensory characterization of some N-heterocycles in model spirit matrix: Influence of ethanol and several chemical features on aroma perception

A sensory characterization of some N-heterocycles in model spirit matrix: Influence of ethanol and several chemical features on aroma perception

The qualitative spirit ageing bouquet, developed during maturation in oak casks through a complex transformation process, can result in a broad palette of nuances where roasted and nutty aromas are often identified. Nitrogen heterocycles (pyrazines, thiazoles, pyrroles), produced during the heating step of the barrel-manufacturing, contribute to the perception of these nuances. However, their specific sensory characteristics within the spirit matrix have been poorly studied until now. The current study consisted in an overall olfactory characterization of nine targeted N-heterocycles molecules previously identified in oak wood and detected in spirits. In a first step, the olfactory perception thresholds (detection and recognition) were measured in a spirit model medium (23% hydroalcoholic solution, pH 4), revealing that the presence of ethanol at such level minimally affected the olfactory perception of the studied compounds. A first sensory description of the set of N-heterocycles also highlighted a large spectrum of aromatic nuances, mostly related to the semantic field of wood (nut, roasted, smoky, spicy). In a second step, a profile of the key aromatic attributes of the studied molecules was compiled, on the basis of their corresponding intensity scores given by a trained expert panel. Principal Component Analysis followed by Hierarchical Cluster Analysis categorized the pool of N-heterocycles according to their sensory similarities. The presence of ethanol in spirit model matrix did not affect detection and recognition thresholds of studied N-heterocycles. Wood-derived nuances accounted among the most representative aromas characterized the studied N-heterocycles. Functionals groups carried out by the chemical ring modified the aromatic perception of N-heterocycles.

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来源期刊
Flavour and Fragrance Journal
Flavour and Fragrance Journal 工程技术-食品科技
CiteScore
6.00
自引率
3.80%
发文量
40
审稿时长
1 months
期刊介绍: Flavour and Fragrance Journal publishes original research articles, reviews and special reports on all aspects of flavour and fragrance. Its high scientific standards and international character is ensured by a strict refereeing system and an editorial team representing the multidisciplinary expertise of our field of research. Because analysis is the matter of many submissions and supports the data used in many other domains, a special attention is placed on the quality of analytical techniques. All natural or synthetic products eliciting or influencing a sensory stimulus related to gustation or olfaction are eligible for publication in the Journal. Eligible as well are the techniques related to their preparation, characterization and safety. This notably involves analytical and sensory analysis, physical chemistry, modeling, microbiology – antimicrobial properties, biology, chemosensory perception and legislation. The overall aim is to produce a journal of the highest quality which provides a scientific forum for academia as well as for industry on all aspects of flavors, fragrances and related materials, and which is valued by readers and contributors alike.
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