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气味测量可以创造出嗅觉变偶体。

A measure of smell enables the creation of olfactory metamers.

机构信息

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

DreamAir LLC, New York, NY, USA.

出版信息

Nature. 2020 Dec;588(7836):118-123. doi: 10.1038/s41586-020-2891-7. Epub 2020 Nov 11.

Abstract

Wavelength is a physical measure of light, and the intricate understanding of its link to perceived colour enables the creation of perceptual entities such as metamers-non-overlapping spectral compositions that generate identical colour percepts. By contrast, scientists have been unable to develop a physical measure linked to perceived smell, even one that merely reflects the extent of perceptual similarity between odorants. Here, to generate such a measure, we collected perceptual similarity estimates of 49,788 pairwise odorants from 199 participants who smelled 242 different multicomponent odorants and used these data to refine a predictive model that links odorant structure to odorant perception. The resulting measure combines 21 physicochemical features of the odorants into a single number-expressed in radians-that accurately predicts the extent of perceptual similarity between multicomponent odorant pairs. To assess the usefulness of this measure, we investigated whether we could use it to create olfactory metamers. To this end, we first identified a cut-off in the measure: pairs of multicomponent odorants that were within 0.05 radians of each other or less were very difficult to discriminate. Using this cut-off, we were able to design olfactory metamers-pairs of non-overlapping molecular compositions that generated identical odour percepts. The accurate predictions of perceptual similarity, and the ensuing creation of olfactory metamers, suggest that we have obtained a valid olfactory measure, one that may enable the digitization of smell.

摘要

波长是光的一种物理度量,对其与感知颜色之间关系的深入理解使我们能够创造出诸如同色异谱体(metamers)等感知实体——即非重叠的光谱组成,它们产生相同的颜色感知。相比之下,科学家们一直无法开发出与感知气味相关的物理度量,甚至无法开发出仅反映气味之间感知相似程度的度量。在这里,为了生成这样的度量,我们从 199 名参与者那里收集了 49788 对成对气味的感知相似性估计值,这些参与者闻了 242 种不同的多组分气味,并使用这些数据来改进一种将气味结构与气味感知联系起来的预测模型。该模型将气味的 21 种物理化学特征组合成一个单一的数字(以弧度表示),该数字准确地预测了多组分气味对之间的感知相似程度。为了评估该度量的有用性,我们研究了是否可以使用它来创建嗅觉同色异谱体。为此,我们首先确定了该度量的一个截止值:彼此之间相差 0.05 弧度或更小的多组分气味对很难区分。使用该截止值,我们能够设计出嗅觉同色异谱体——即非重叠的分子组成对,它们产生相同的气味感知。感知相似性的准确预测,以及随后产生的嗅觉同色异谱体,表明我们已经获得了一种有效的嗅觉度量,它可能使气味数字化。

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