Biophysical models of human olfactory intensity perception

人类嗅觉强度感知的生物物理模型

基本信息

批准号：
10589044
负责人：
Robert Pellegrino
金额：
$ 6.95万
依托单位：
MONELL CHEMICAL SENSES CENTER
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-03-15 至 2024-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10589044
关键词：
Air Algorithms Applications Grants Biology Biophysics Brain Chemical Structure Chemicals Classification Cochlear Implants Code Color Competitive Binding Complex Complex Mixtures Coupled Data Data Set Detection Dimensions Discipline Dose Elderly Electronics Engineering Flame Ionization Food Gas Chromatography Goals Human Implant Individual Life Link Liquid substance Loudness Machine Learning Mathematics Measures Medicine Methods Modeling Molecular Molecular Structure Odors Olfactory dysfunction Perception Performance Phase Photons Physics Property Proxy Psychophysics Publishing Regulation Reporting Research Research Personnel Scientific Advances and Accomplishments Scientist Sensory Sensory Receptors Signal Transduction Smell Perception Specific qualifier value Stimulus Structure Techniques Testing Training Training Support Update Vision auditory stimulus biophysical model career clinical application clinically relevant deaf digital food science high dimensionality human model machine learning algorithm neural olfactory disorder olfactory receptor physical property predictive modeling receptor response single molecule sound tool visual stimulus

项目摘要

PROJECT SUMMARY/ABSTRACT We can measure the brightness of a color and the loudness of a sound because we have related these perceptual properties to physical properties. This has not been done for olfaction. Knowing the basic unit of intensity is essential to understand other aspects of a sense. For instance, just as color shifts with brightness, the smell of an odor is relative to its intensity. In fact, most naturally occurring odors are not one molecule, but mixtures of many molecules at different intensities. At the olfactory receptor level, we know that one odorant may inhibit another leading to a change in each other’s strength. Knowing how and what interactions take place in an odor mixture has clinical relevance. If we understand interactions in odor mixtures, we could suppress unappetizing odorants in medicines that lead to lack of compliance as well as increase palatable odorants in individuals with partial loss (e.g. elderly). Furthermore, knowing mixture intensity will supplement fields trying to accurately measure odors (environmental regulation) or recreate them (food science). In this proposal, I will collect high-quality, public data sets linking molecular structure to perceived intensity and build open-access tools to provide practical, accessible predictions to advance the scientific field.

项目概要/摘要我们可以测量颜色的亮度和声音的响度，因为我们已经将它们联系起来知觉属性到物理属性尚未完成。强度对于理解感官的其他方面至关重要，例如，就像颜色随亮度变化一样，气味的气味与其强度有关。事实上，大多数自然产生的气味不是一个分子，而是气味。在嗅觉受体水平上，我们知道一种气味剂是多种不同强度的分子的混合物。可能会抑制另一个人，从而导致彼此力量的改变。如果我们了解气味混合物中的相互作用，我们就可以了解气味混合物中的位置具有临床相关性。抑制药物中导致缺乏依从性的令人反胃的气味并增加适口性此外，了解混合强度可以补充部分损失的个体（例如老年人）的气味。试图准确测量气味（环境监管）或重新创造气味（食品科学）的领域。建议，我将收集高质量的公共数据集，将分子结构与感知强度联系起来，并构建开放获取工具，提供实用、易于理解的预测，以推动科学领域的发展。

项目成果

期刊论文数量（2）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Future Directions for Chemosensory Connectomes: Best Practices and Specific Challenges.

DOI：
10.3389/fnsys.2022.885304
发表时间：
2022
期刊：
FRONTIERS IN SYSTEMS NEUROSCIENCE
影响因子：
3
作者：
Veldhuizen, Maria G.;Cecchetto, Cinzia;Fjaeldstad, Alexander W.;Farruggia, Michael C.;Hartig, Renee;Nakamura, Yuko;Pellegrino, Robert;Yeung, Andy W. K.;Fischmeister, Florian Ph. S.
通讯作者：
Fischmeister, Florian Ph. S.

Functional Connectivity of the Chemosenses: A Review.