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Related Experiment Video

Updated: May 26, 2026

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

The Multi-Chamber Electronic Nose--an improved olfaction sensor for mobile robotics.

Javier Gonzalez-Jimenez¹, Javier G Monroy, Jose Luis Blanco

¹Department of System Engineering and Automation, University of Malaga, Malaga, Spain. javiergonzalez@uma.es

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

This study introduces a novel Multi-Chamber Electronic Nose (MCE-nose) that significantly reduces Metal Oxide Semiconductor (MOS) sensor recovery time. This advancement enables faster gas detection for applications like mobile robotic olfaction.

Keywords:

Metal Oxide Semiconductor Sensor electronic nose gas sensing mobile robotic olfaction

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Last Updated: May 26, 2026

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Published on: December 19, 2016

Area of Science:

Materials Science
Robotics
Sensor Technology

Background:

Metal Oxide Semiconductor (MOS) technology is widely used in electronic gas sensing devices (e-noses).
A major limitation of MOS-based e-noses is the prolonged sensor recovery time after gas exposure, hindering real-time applications.
This slow recovery restricts the use of e-noses in dynamic environments, such as mobile robotic olfaction, necessitating slow operational speeds.

Purpose of the Study:

To design and develop a novel e-nose system that overcomes the limitation of long sensor recovery times.
To enhance the responsiveness of electronic noses for applications requiring rapid detection of changing chemical concentrations.
To demonstrate the effectiveness of the new e-nose in mobile robotic olfaction scenarios.

Main Methods:

The proposed Multi-Chamber Electronic Nose (MCE-nose) utilizes multiple identical sets of MOS sensors housed in separate, alternating chambers.
These chambers are designed to switch between sensing and recovery states independently.
The system's performance was evaluated through experiments involving rapid gas concentration sensing and mobile robot gas mapping.

Main Results:

The MCE-nose architecture significantly reduces the overall system recovery time compared to traditional single-chamber MOS e-noses.
The device demonstrated a capability for faster sensing of dynamic changes in gas concentrations.
Experiments confirmed the MCE-nose's utility and performance in mobile robotic olfaction tasks, including gas mapping.

Conclusions:

The MCE-nose effectively addresses the slow recovery issue inherent in MOS gas sensors.
This innovative design enables faster and more practical electronic gas sensing for dynamic environments.
The MCE-nose shows significant promise for advancing mobile robotic olfaction and other real-time chemical sensing applications.