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Related Concept Videos

Olfaction01:25

Olfaction

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The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
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Physiology of Smell and Olfactory Pathway01:20

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Humans detect odors with the help of specialized cells located in the upper part of the nasal cavity, called olfactory receptor neurons (ORNs). ORNs possess hair-like structures called cilia, which are receptive to sensations from the inhaled air. When an odorant molecule binds to a specific receptor on the cell of the cilia, it leads to a series of events that ultimately cause the ORN to send electrical signals to the olfactory bulb in the brain through the olfactory nerves.
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Sampling Methods: Sample Types01:18

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Sampling materials are classified into three main types: solid, liquid, and gas.
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Tactile and Chemical Senses01:27

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Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
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Olfactory Receptors: Location and Structure01:03

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The process of olfaction, also known as the sense of smell, is a sophisticated chemical response system. The specialized sensory neurons that facilitate this process, known as olfactory receptor neurons, are situated in an upper segment of the nasal cavity, known as the olfactory epithelium. Olfactory sensory neurons are bipolar, with their dendrites extending from the epithelium's apex into the mucus that lines the nasal cavity. Airborne molecules, when inhaled, traverse the olfactory...
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Molecular Models02:00

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Related Experiment Video

Updated: Nov 2, 2025

Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase
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Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase

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A physicochemical model of odor sampling.

Mitchell E Gronowitz1, Adam Liu1, Qiang Qiu2

  • 1Department of Psychology, Cornell University, Ithaca, New York, United States of America.

Plos Computational Biology
|June 11, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a physicochemical sampling model for olfaction, revealing that more receptors enhance odor discrimination. Antagonistic interactions improve performance, while too many odor ligands can impair scent detection.

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Related Experiment Videos

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Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase
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Area of Science:

  • Computational neuroscience
  • Olfactory system modeling
  • Chemosensation

Background:

  • Olfaction relies on complex interactions between odorant molecules (ligands) and olfactory receptors.
  • Understanding how these interactions shape odor perception and discrimination is crucial for olfactory research.

Purpose of the Study:

  • To develop a general physicochemical sampling model for olfaction.
  • To investigate the effects of ligand-receptor interactions on odor representation and olfactory performance.
  • To quantify the impact of receptor number, ligand concentration, and antagonistic interactions on odor discrimination sensitivity.

Main Methods:

  • Developed a computational model based on pharmacological principles to simulate ligand-receptor binding.
  • Modeled competitive interactions between ligands for receptor binding, mimicking biological degeneracy.
  • Mapped receptor activation patterns to glomerular presynaptic activation levels.
  • Calculated mean discrimination sensitivity as a key performance metric.

Main Results:

  • Increasing the number of receptors consistently improved discrimination sensitivity.
  • Adding ligands initially enhanced discrimination but led to impairment at higher concentrations.
  • Antagonistic ligand-receptor interactions significantly boosted discrimination sensitivity and tolerance to competing ligands.
  • The model accurately predicted reduced odor discrimination in a transgenic mouse model with disrupted neural targeting.

Conclusions:

  • The model provides a framework for understanding olfactory processing based on physicochemical principles.
  • Receptor repertoire and the nature of ligand-receptor interactions (including antagonism) are critical determinants of olfactory performance.
  • The findings highlight the complex, non-linear relationship between stimulus complexity and sensory discrimination capacity.