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Sensory importance and interactions of character impact compounds in brewed coffee model systems.

机译:冲泡咖啡模型系统中感官重要性化合物的感官重要性和相互作用。

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摘要

The aim of the study was to investigate the sensory significance and interactions of the key odorants in brewed coffee model systems. The coffee model was obtained by mixing 43 odorants in a deodorized coffee base (0.5% coffee solids, pH = 5.0). The overall impression of the mixture was coffee-like. A sensory panel sorted the 43 odorants on the basis of odor similarity into as many groups as they felt necessary. From the cluster analysis of the odor sorting data, the 43 odorants were classified into 14 groups.; The impact of each group on the overall coffeeness of the aroma and on the intensity of the character of each of the 14 groups was screened using a fractional factorial design (Plackett-Burman design). Eight groups of odorants had a major impact on the aroma character of the model; five of each enhanced coffeeness. The remaining groups were not perceived in the model. However, the removal of all the six minor groups from the full model affected the sensory profile by increasing the earthy-moldy and raw potato-cheesy notes.; The impact of the eight major groups was investigated using two consecutive fractional factorial designs. In the first design, the impact of two major groups F (butter-caramel) and N (raw potato-cheesy) was investigated. F (butter-caramel) and N (raw potato-cheesy) masked the others groups of odorants when both groups were present at their high level. The 0.5 log concentration level change of the groups F (butter-caramel), N (raw potato-cheesy), CK (green-pea, medicinal), AELM (earthy-moldy, spicy, peanut, beef broth) in the 8-group model did not affect coffeeness of the aroma model. In the second design, the impact of each group A (earthy-moldy), E (spicy), L (peanut), C (green-pea), K (medicinal) on the 8-group model (F, M and N were kept at low concentration level) was investigated. The impact of these five groups was low in the studied range of concentration. There was no impact on coffeeness of the aroma model.; This study revealed that a limited number of odorants (25 out 43 odorants) present in the full aroma model give the coffee character of the model.
机译:这项研究的目的是调查在冲泡咖啡模型系统中主要气味物质的感官意义和相互作用。通过在脱臭的咖啡碱(0.5%的咖啡固体,pH = 5.0)中混合43种加味剂获得咖啡模型。混合物的总体印象像咖啡。感官小组根据气味相似性将43种气味剂分类为所需的尽可能多的组。从气味分类数据的聚类分析中,将43种气味分为14组。使用分数阶乘设计(Plackett-Burman设计)筛选了每组对香气总体咖啡度的影响以及对14组中每组特征的强度的影响。八组增香剂对模型的香气特性有重大影响。每种咖啡有五种。在模型中没有看到其余的组。但是,从完整模型中删除所有六个较小的组会通过增加土糊状和未加工的马铃薯奶酪味来影响感官特征。使用两个连续的分数阶乘设计研究了八个主要类别的影响。在第一个设计中,研究了两个主要组F(黄油焦糖)和N(生土豆俗气)的影响。当F(黄油焦糖)和N(生土豆俗气)掩盖其他组时,它们的含量都很高。 8组中的F(黄油焦糖),N(生马铃薯俗气),CK(青豆,药用),AELM(土糊,辛辣,花生,牛肉汤)组的0.5 log浓度水平变化组模型不影响香气模型的咖啡度。在第二个设计中,每个组A(土质),E(辣),L(花生),C(绿豌豆),K(药用)对8组模型(F,M和N)的影响保持在低浓度水平)。在所研究的浓度范围内,这五个组的影响较低。对香气模型的咖啡度没有影响。这项研究表明,在完整香气模型中存在的气味剂数量有限(43种气味剂中有25种)赋予了模型咖啡特质。

著录项

  • 作者

    Audouin, Valerie Patricia.;

  • 作者单位

    University of Minnesota.;

  • 授予单位 University of Minnesota.;
  • 学科 Agriculture Food Science and Technology.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 281 p.
  • 总页数 281
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农产品收获、加工及贮藏;
  • 关键词

  • 入库时间 2022-08-17 11:46:26

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