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人类嗅觉阈值的参数映射超声化

Parameter Mapping Sonification of Human Olfactory Thresholds.

作者信息

Boevé Jean-Luc, Giot Rudi

机构信息

OD Taxonomy and Phylogeny, Royal Belgian Institute of Natural Sciences, Rue Vautier 29, 1000 Brussels, Belgium.

Research Laboratory in the Field of Arts and Sciences, Institut Supérieur Industriel de Bruxelles, Rue Royale 150, 1000 Brussels, Belgium.

出版信息

Biology (Basel). 2023 Apr 28;12(5):670. doi: 10.3390/biology12050670.

Abstract

An objective of chemical ecology is to understand the chemical diversity across and within species, as well as the bioactivity of chemical compounds. We previously studied defensive volatiles from phytophagous insects that were subjected to parameter mapping sonification. The created sounds contained information about the repellent bioactivity of the volatiles, such as the repellence from the volatiles themselves when tested against live predators. Here, we applied a similar sonification process to data about human olfactory thresholds. Randomized mapping conditions were used and a peak sound pressure, Lpeak, was calculated from each audio file. The results indicate that Lpeak values were significantly correlated with the olfactory threshold values (e.g., r = 0.72, t = 10.19, < 0.001, Spearman rank-order correlation; standardized olfactory thresholds of 100 volatiles). Furthermore, multiple linear regressions used the olfactory threshold as a dependent variable. The regressions revealed that the molecular weight, the number of carbon and oxygen atoms, as well as the functional groups aldehyde, acid, and (remaining) double bond were significant determinants of the bioactivity, while the functional groups ester, ketone, and alcohol were not. We conclude that the presented sonification methodology that converts chemicals into sound data allows for the study of their bioactivities by integrating compound characteristics that are easily accessible.

摘要

化学生态学的一个目标是了解物种间和物种内的化学多样性以及化合物的生物活性。我们之前研究了遭受参数映射声化处理的植食性昆虫的防御性挥发物。生成的声音包含了挥发物驱避生物活性的信息,比如在针对活体捕食者进行测试时挥发物自身的驱避性。在此,我们对关于人类嗅觉阈值的数据应用了类似的声化处理过程。使用了随机映射条件,并从每个音频文件中计算出一个峰值声压Lpeak。结果表明,Lpeak值与嗅觉阈值显著相关(例如,r = 0.72,t = 10.19,< 0.001,斯皮尔曼等级相关;100种挥发物的标准化嗅觉阈值)。此外,多元线性回归将嗅觉阈值用作因变量。回归分析显示,分子量、碳和氧原子的数量以及醛、酸和(剩余的)双键等官能团是生物活性的重要决定因素,而酯、酮和醇等官能团则不是。我们得出结论,所提出的将化学物质转化为声音数据的声化方法,通过整合易于获取的化合物特征,能够用于研究它们的生物活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58a/10215924/111ddd1ac2e3/biology-12-00670-g001.jpg

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