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Just Noticeable Differences in Component Concentrations Modify the Odor Quality of a Blending Mixture

机译:组分浓度的明显差异改变了混合混合物的气味质量

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The odors we perceive are mainly the result of mixtures of odorants that,however,are commonly perceived as single undivided entities;nevertheless,the processes involved remain poorly explored.It has been recently reported that perceptual blending based on configural olfactory processing can cause odorant mixtures to give rise to an emergent odor not present in the components.The present study examined whether specific component proportions are required to elicit an emergent odor.Starting from the composition of a ternary target mixture in which an emergent pineapple odor was perceived,4 concentration levels of each component were chosen to elicit just noticeable differences(JNDs).Each combination of levels was used to design sample mixtures.Fifteen subjects evaluated the intensity,typicality,and pleasantness of each sample mixture against the target mixture in a paired-comparison protocol.Statistical modeling showed that a variation of less than 1 JND in one of the components was sufficient to induce a significant decrease in pineapple odor typicality in the ternary mixture.This finding confirms previous findings on perceptual blending in simple odorant mixtures and underscores the human ability to discriminate between odor percepts induced by mixtures including very similar odorant proportions.
机译:我们感知到的气味主要是混合了各种气味的结果,但通常认为它们是单一的实体;尽管如此,所涉及的过程仍未得到很好的研究。最近有报道称,基于结构性嗅觉处理的知觉混合会导致气味混合本研究研究了是否需要特定比例的成分才能引起散发的气味。从三元目标混合物的组成开始,其中感觉到散发出来的菠萝气味,4浓度水平选择每种成分的混合物以引起明显的差异(JND)。使用每种水平的组合来设计样品混合物。十五名受试者在配对比较方案中针对目标混合物评估了每种样品混合物的强度,典型性和令人愉快程度。统计模型表明,其中一个组件的偏差小于1 JND有助于在三元混合物中显着降低菠萝气味的典型性。这一发现证实了以前在简单的气味混合物中进行知觉混合的发现,并强调了人类区分由气味混合物所引起的气味感知的能力,这些混合物包括非常相似的气味成分。

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