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Related Concept Videos

Olfaction01:25

Olfaction

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...
Olfactory Receptors: Location and Structure01:03

Olfactory Receptors: Location and Structure

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...
Physiology of Smell and Olfactory Pathway01:20

Physiology of Smell and Olfactory Pathway

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.
The olfactory...

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Related Experiment Video

Updated: May 11, 2026

Fruit Volatile Analysis Using an Electronic Nose
11:02

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

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Scalable and Easy-to-use System Architecture for Electronic Noses.

Ana Pádua1, Daniel Osório2, Joóo Rodrigues2

  • 1UCIBIO, REQUIMTE, Departamento de Química, Faculdade de Ciencias e Tecnologia da Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal.

Biomedical Engineering Systems and Technologies, International Joint Conference, BIOSTEC ... Revised Selected Papers. BIOSTEC (Conference)
|October 15, 2024
PubMed
Summary

A new scalable electronic nose (E-nose) system architecture was developed for sensing volatile organic compounds. This system enables multiple E-noses to collect large datasets simultaneously, enhancing scalability and ease of use.

Keywords:
E-noseScalabilitySystem IntegrationVOCs

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Area of Science:

  • Chemical Sensing
  • System Architecture
  • Data Acquisition

Background:

  • Volatile organic compounds (VOCs) detection is crucial in various fields.
  • Existing electronic nose (E-nose) systems often lack scalability for large-scale data acquisition.
  • A need exists for user-friendly and easily deployable E-nose architectures.

Purpose of the Study:

  • To develop a scalable and user-friendly electronic nose (E-nose) system architecture.
  • To facilitate simultaneous data acquisition from multiple E-noses.
  • To enable efficient sensing of volatile organic compounds (VOCs).

Main Methods:

  • Designed a modular E-nose system comprising delivery, detection, and data acquisition/control subsystems.
  • Implemented a common database for scalable data storage across multiple E-noses.
  • Developed a simplified setup procedure requiring only E-nose ID configuration.
  • Integrated a user interface for experiment control and data visualization.

Main Results:

  • Successfully developed a scalable and easy-to-use E-nose system architecture.
  • Demonstrated the capability for simultaneous data acquisition from multiple E-nose units.
  • Achieved a streamlined setup process for new E-nose deployments.
  • Currently operating three E-nose prototypes within a laboratory setting.

Conclusions:

  • The developed E-nose architecture offers enhanced scalability and usability for VOC sensing.
  • The system design supports the concurrent operation of multiple E-noses for large-scale data collection.
  • This architecture provides a robust foundation for advanced environmental and industrial monitoring applications.