z-logo
open-access-imgOpen Access
Resolving Fast Gas Transients with Metal Oxide Sensors
Author(s) -
Damien Drix,
Michael Schmuker
Publication year - 2021
Publication title -
acs sensors
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.055
H-Index - 57
ISSN - 2379-3694
DOI - 10.1021/acssensors.0c02006
Subject(s) - electronic nose , mox fuel , odor , computer science , sampling (signal processing) , sensor array , kalman filter , real time computing , artificial intelligence , materials science , computer vision , chemistry , filter (signal processing) , uranium , organic chemistry , machine learning , metallurgy
Electronic olfaction can help detect and localize harmful gases and pollutants, but the turbulence of the natural environment presents a particular challenge: odor encounters are intermittent, and an effective electronic nose must therefore be able to resolve short odor pulses. The slow responses of the widely used metal oxide (MOX) gas sensors complicate the task. Here, we combine high-resolution data acquisition with a processing method based on Kalman filtering and absolute-deadband sampling to extract fast onset events. We find that our system can resolve the onset time of odor encounters with enough precision for source direction estimation with a pair of MOX sensors in a stereo-osmic configuration.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom