Back to Search
Start Over
Dual domain acoustic olfactory discriminator.
- Source :
-
Sensors & Actuators A: Physical . Feb2023, Vol. 350, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- Acoustic transduction combining a quarter wavelength resonator, a speaker and a microphone is used for the detection and identification of gas properties such as n -hexane, acetone and ethanol. As a target gas flows into the resonator, the density and the speed of sound of the gas in the resonator change, causing a shift in the acoustic pressure waves manifesting from the speaker. Resonance frequency curves of each gas were experimentally obtained using a standard 1/ f equal octave pink noise test over the audible frequency range. The speed of sound of each gas was analytically determined from the obtained resonance frequency. As the flow concentration of a target gas increases, the speed of sound decreases as the gas density increases. Time series signals at a fixed frequency exhibit unique profiles for each gas and concentration. The theoretical limit of detection for n -hexane in the time domain was calculated to be in the order of several tens of ppm. Whilst the frequency domain data obtains a direct physical parameter, time domain data enables multi-dimensional data analysis, relaying decisive data for artificial olfaction. Principal component analysis (PCA) reveals unique attributes and discrimination per gas species and concentration based on multi-dimensional data obtained through the dual domain measurements. This study demonstrates that the device can adequately identify gases at concentrations of at least several thousand ppm. This approach may provide a new platform as a mobile gas discriminator coupled to artificial olfaction with the added benefit of audio capabilities and signal processing techniques. [Display omitted] • A dual domain acoustic olfactory sensor detection mechanism is fabricated. • The speed of sound of different headspace gases are measured during dynamic sampling. • Time domain testing at a fixed frequency revealed repeatable and distinct signals per gas species. • Principal component analysis is conducted using multi-dimensional data from the time domain and the speed of sound. • A linear relationship between output voltage and n -hexane concentration is obtained. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09244247
- Volume :
- 350
- Database :
- Academic Search Index
- Journal :
- Sensors & Actuators A: Physical
- Publication Type :
- Academic Journal
- Accession number :
- 161343460
- Full Text :
- https://doi.org/10.1016/j.sna.2022.114102