Temporal Dominance of Sensations: What is a good attribute list?
Temporal Dominance of Sensations: What is a good attribute list?
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DOI：
10.1016/j.foodqual.2012.04.004
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发表时间：
2012-12-01
影响因子：
5.3
通讯作者：
Rytz, Andreas
中科院分区：
文献类型：
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作者：
Pineau, Nicolas;de Bouille, Antoine Goupil;Rytz, Andreas
感觉的时间优势（TDS）方法由于其独特的方法能够描述产品品尝过程中主导感官知觉的顺序，近年来在感官领域获得了越来越多的兴趣。这种方法已被用于描述各种产品，但它仍然面临一些缺乏知识，如何定义一个良好的属性列表，为这个不寻常的感官实验。事实上，TDS程序与标准的感官方法（如感官剖析）有很大的不同。在整个评估过程中，小组成员必须不断地在几个属性中做出选择，以确定主导感觉的顺序。因此，属性列表的定义是一个关键元素，因为它决定了小组成员的响应。本文调查了小组成员在TDS评估过程中如何使用属性列表，特别关注列表中属性的数量、类型（质地、味道或香气）和位置对小组成员回应的影响，以及小组成员就该列表的使用达成的共识。为了获得具有代表性的结果，CSGA（法国第戎）和NRC（瑞士洛桑）合作创建了一个名为“TDSbase”的数据库，收集了在不同条件下进行的TDS研究。基于来自TDSbase的21个TDS研究的结果表明，无论列表中有多少个属性，小组成员倾向于在每次评估中使用相对固定数量的属性。小组成员还可以在同一列表中使用不同类型的属性（对每个属性的选择次数或选择时间没有影响）。然而，每个小组成员优先使用不同小组成员的属性子集。此外，如果列表包含超过8-10个属性，一些小组成员可能无法使用所有属性。因此，建议使用最多包含10个属性的列表。最后，列表中的属性顺序不会影响每个属性的选择次数，但是列表顶部的属性往往比列表底部的属性在序列中更早被选择。因此，建议在小组成员之间平衡属性顺序，以解释这种顺序效应。(C) 2012 Elsevier Ltd.版权所有。
Temporal Dominance of Sensations (TDS) methodology recently gained more and more interest in the sensory field because of its unique approach enabling the description of the sequence of the dominant sensory perceptions along the tasting of a product. This method has been used for describing various products but it still faces some lack of knowledge on how to define a good list of attributes for this unusual sensory experiment. Indeed, TDS procedure is very different from standard sensory methodologies such as sensory profiling. Throughout the evaluation, panellists have to continuously make a choice among several attributes to determine the sequence of dominant sensations. Thus the definition of the attribute list is a key element since it determines the responses of the panellists. This paper investigates how panellists use the attribute list during TDS evaluation with a specific focus on the impact of the number, the type (texture, taste or aroma) and the position of attributes in the list on the panellist response and on the consensus among panellists regarding the use of this list. In order to get representative results, a database called "TDSbase" gathering TDS studies performed under different conditions was created in collaboration between CSGA (Dijon, France) and NRC (Lausanne, Switzerland). Results based on the 21 TDS studies from the TDSbase show that panellists tend to use a relatively constant number of attributes per evaluation, whatever the number of attributes in the list. Panellists are also able to use different types of attributes in the same list (no impact on the number of selections of each attribute or on the selection time). However, each panellist preferentially uses a subset of attributes that differs across panellists. In addition, if the list features more than 8-10 attributes, some panellists are not able to use them all. It is therefore recommended to use a list with a maximum of 10 attributes. Finally, the attribute order in the list does not impact the number of selection of each attribute, but the attributes at the top of the list tend to be selected earlier in the sequence than the attributes at the bottom of the list. It is therefore recommended to balance attribute order across panellists to account for this order effect. (C) 2012 Elsevier Ltd. All rights reserved.