ジャーナル論文 Repetitive Direct Comparison Method for Odor Sensing
Gaku Imamura (author) (この著者で検索)
ORCID https://orcid.org/0000-0002-3130-7190
National Institute for Materials Science International Center for Materials Nanoarchitectonics
SAMURAI NIMS Researchers Directory SAMURAI
ORCID SAMURAI ;
Kosuke Minami (author) (この著者で検索)
ORCID https://orcid.org/0000-0003-4145-1118
National Institute for Materials Science Research Center for Functional Materials
SAMURAI NIMS Researchers Directory SAMURAI
ORCID SAMURAI ;
Genki Yoshikawa (author) (この著者で検索)
ORCID https://orcid.org/0000-0002-9136-8964
National Institute for Materials Science Research Center for Functional Materials
SAMURAI NIMS Researchers Directory SAMURAI
ORCID SAMURAI
コレクション

引用
Gaku Imamura, Kosuke Minami, Genki Yoshikawa. Repetitive Direct Comparison Method for Odor Sensing. Biosensors. 2023, 13 (3), 368-368. https://doi.org/10.3390/bios13030368
SAMURAI

説明:

(abstract)

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.

権利情報:

キーワード: gas sensor, olfactory sensor, signal processing, membrane-type surface stress sensor

刊行年月日: 2023-03-10

出版者: MDPI

掲載誌:

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

研究助成金:

  • 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))

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.3390/bios13030368

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更新時刻: 2024-01-12 11:04:20 +0900

MDRでの公開時刻: 2024-01-12 12:30:08 +0900

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