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采用感官组学方法对两种巴伐利亚小麦啤酒中的关键香气化合物进行表征。

Characterization of the key aroma compounds in two bavarian wheat beers by means of the sensomics approach.

作者信息

Langos Daniel, Granvogl Michael, Schieberle Peter

机构信息

Deutsche Forschungsanstalt für Lebensmittelchemie, Lise-Meitner-Strasse 34, D-85354 Freising, Germany.

出版信息

J Agric Food Chem. 2013 Nov 27;61(47):11303-11. doi: 10.1021/jf403912j. Epub 2013 Nov 12.

Abstract

Application of aroma extract dilution analysis (AEDA) on the volatiles isolated from a commercial Bavarian wheat beer (WB A) eliciting its typical aroma profile, best described by a clove-like, phenolic odor quality, revealed 36 odorants in the flavor dilution (FD) factor range from 16 to 4096. Among them, 2-methoxy-4-vinylphenol (clove-like) and 2-phenylethanol (flowery) showed the highest FD factors. AEDA of a second wheat beer (WB B), somewhat lacking the typical wheat beer odor note, revealed 32 odor-active components in the FD factor range from 32 to 8192. Among them, 2-phenylethanol, (E)-β-damascenone (cooked apple-like) and 3-methylbutanol (malty) were detected with the highest FD factors. Next, all odorants evaluated with an FD factor ≥32 were quantitated by stable isotope dilution assays in both beers, and the odor activity values (OAVs; ratio of concentration to odor threshold) were calculated. Thereby, ethanol, (E)-β-damascenone, 3-methylbutyl acetate, ethyl methylpropanoate, and ethyl butanoate showed the highest OAVs in WB A, followed by acetaldehyde, 3-methylbutanol, and dimethyl sulfide. In WB B, ethanol, (E)-β-damascenone, ethyl methylpropanoate, ethyl butanoate, and 3-methylbutyl acetate showed the highest OAVs. Whereas most aroma compounds were present in the same order of magnitude in both beer samples, in particular, 2-methoxy-4-vinylphenol and 4-vinylphenol (smoky, leather-like) were by factors of 13 and 15, respectively, higher in WB A. For the first time, the overall aroma of wheat beer (WB A) was successfully simulated on the basis of 27 reference compounds in their natural concentrations using water/ethanol (95:5; v/v) as the matrix.

摘要

将香气提取物稀释分析(AEDA)应用于从一款具有典型香气特征(最好用类似丁香酚的酚类气味品质来描述)的商业巴伐利亚小麦啤酒(WB A)中分离出的挥发性成分,结果表明在风味稀释(FD)因子范围为16至4096内有36种气味活性物质。其中,2-甲氧基-4-乙烯基苯酚(类似丁香酚)和2-苯乙醇(花香)的FD因子最高。对第二款小麦啤酒(WB B)进行AEDA分析,其在一定程度上缺乏典型的小麦啤酒气味特征,结果表明在FD因子范围为32至8192内有32种气味活性成分。其中,2-苯乙醇、(E)-β-大马酮(类似煮苹果)和3-甲基丁醇(麦芽香)的FD因子最高。接下来,对两款啤酒中所有FD因子≥32的气味活性物质进行稳定同位素稀释分析定量,并计算气味活性值(OAVs;浓度与气味阈值之比)。由此,乙醇、(E)-β-大马酮、3-甲基丁基乙酸酯、甲基丙酸乙酯和丁酸乙酯在WB A中显示出最高的OAVs,其次是乙醛、3-甲基丁醇和二甲基硫醚。在WB B中,乙醇、(E)-β-大马酮、甲基丙酸乙酯、丁酸乙酯和3-甲基丁基乙酸酯显示出最高的OAVs。虽然大多数香气化合物在两个啤酒样品中的含量处于同一数量级,但特别是2-甲氧基-4-乙烯基苯酚和4-乙烯基苯酚(烟熏味、皮革味)在WB A中的含量分别高出13倍和15倍。首次以水/乙醇(95:5;v/v)为基质,基于27种参考化合物的天然浓度成功模拟了小麦啤酒(WB A)的整体香气。

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