Pleasantness is a major dimension of odor percepts. While naturally encountered odors rely on mixtures of odorants, few studies have investigated the rules underlying the perceived pleasantness of odor mixtures. To address this issue, a set of 222 binary mixtures based on a set of 72 odorants were rated by a panel of 30 participants for odor intensity and pleasantness. In most cases, the pleasantness of the binary mixtures was driven by the pleasantness and intensity of its components. Nevertheless, a significant pleasantness partial addition was observed in 6 binary mixtures consisting of 2 components with similar pleasantness ratings. A mathematical model, involving the pleasantness of the components as well as τ-values reflecting components' odor intensity, was applied to predict mixture pleasantness. Using this model, the pleasantness of mixtures including 2 components with contrasted intensity and pleasantness could be efficiently predicted at the panel level (R2 > 0.80, Root Mean Squared Error < 0.67).

中文翻译：

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二元气味混合物的宜人性：规则和预测。

令人愉快是气味感知的主要方面。尽管自然遇到的气味依赖于气味混合物，但很少有研究调查气味混合物令人愉悦的基本规则。为了解决这个问题，由30位参与者组成的小组对基于72种增香剂的222种二元混合物进行了评估，评估其气味强度和愉悦性。在大多数情况下，二元混合物的令人愉悦是由其组分的令人愉悦和强度所驱动。但是，在由2种组分组成的6种二元混合物中观察到了显着的令人愉悦的部分添加，这些组分具有相似的令人愉悦的等级。应用一个数学模型来预测混合物的舒适度，该模型涉及组分的舒适度以及反映组分气味强度的τ值。使用这个模型，