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Description:

Olfactory sensors are one of the most anticipated applications of gas sensors. To distinguish odors—complex mixtures of gas species, it is necessary to extract sensor responses originating from the target odors. However, the responses of gas sensors tend to be affected by interfering gases with much higher concentrations than target odor molecules. To realize practical applications of olfactory sensors, extracting minute sensor responses of odors from major interfering gases is required. In this study, we propose a repetitive direct comparison (rDC) method, which can highlight the difference in odors by alternately injecting the two target odors into a gas sensor. We verified the feasibility of the rDC method on chocolates with two different flavors by using a sensor system based on membrane-type surface stress sensors (MSS). The odors of the chocolates were measured by the rDC method, and the signal-to-noise ratios (S/N) of the measurements were evaluated. The results showed that the rDC method achieved improved S/N compared to a typical measurement. The result also indicates that sensing signals could be enhanced for a specific combination of receptor materials of MSS and target odors.

Rights:

• Creative Commons BY Attribution 4.0 International
  

Keyword: gas sensor, olfactory sensor, signal processing, membrane-type surface stress sensor

Date published: 2023-03-10

Publisher: MDPI

Journal:

• Biosensors (ISSN: 20796374) vol. 13 issue. 3 p. 368-368

Funding:

• JSPS 20K05345 (科研費基盤C)
• JSPS 22K05324 (科研費基盤C)
• JSPS 18H04168 (科研費基盤A)
• 株式会社リバネス (リバネス研究費)
• 内閣府 (官民研究開発投資拡大プログラム（PRISM）)

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.3390/bios13030368

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Updated at: 2024-01-12 11:04:20 +0900

Published on MDR: 2024-01-12 12:30:08 +0900