Sensing signal augmentation by flow rate modulation of carrier gas for accurate differentiation of complex odours

For olfactory sensors, clear differentiation of complex odour samples requires diverse information. To obtain such information, hardware modifications, such as introducing additional channels with different physical/chemical properties, are usually needed. In this study, we present a new approach to augmenting the sensing signals of an olfactory sensor by modulating the flow rate of the carrier gas. The headspace vapour of complex odours is measured using a sensing system of nanomechanical sensor (Membrane-type Surface stress Sensor, MSS). The resulting data set is quantitatively evaluated using the Davies-Bouldin index (DBI) of principal component analysis (PCA). The increasing number of sensing signals obtained at different gas flow rates leads to a decrease in the DBI, achieving better cluster separation between different odours. Such gas flow effects can be attributed to several factors, including the sample evaporation and the equilibrium of the gas-liquid and gas-solid interfaces. Proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOF-MS) experiments reveal that the compositions of odour samples vary with the different gas flow rates. It is demonstrated that a simple technique for modulating gas flow rates can significantly improve the differentiation performance of complex odours, providing an additional degree of freedom in olfactory sensing.

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Publication Details

Journal
Science and Technology of Advanced Materials
Published
2024-10-16
DOI
https://doi.org/10.1080/14686996.2024.2408212
Citations
6
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
1.11

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article

Sensing signal augmentation by flow rate modulation of carrier gas for accurate differentiation of complex odours

Kota Shiba, Meng‐Qun Feng, Kosuke Minami, Tanju Yildirim et al.
6 citations
Science and Technology of Advanced Materials
Advanced Chemical Sensor Technologies
1.11
article

Sensing signal augmentation by flow rate modulation of carrier gas for accurate differentiation of complex odours

Kota Shiba, Meng‐Qun Feng, Kosuke Minami, Tanju Yildirim, Genki Yoshikawa
article en
6 citations

Abstract

For olfactory sensors, clear differentiation of complex odour samples requires diverse information. To obtain such information, hardware modifications, such as introducing additional channels with different physical/chemical properties, are usually needed. In this study, we present a new approach to augmenting the sensing signals of an olfactory sensor by modulating the flow rate of the carrier gas. The headspace vapour of complex odours is measured using a sensing system of nanomechanical sensor (Membrane-type Surface stress Sensor, MSS). The resulting data set is quantitatively evaluated using the Davies-Bouldin index (DBI) of principal component analysis (PCA). The increasing number of sensing signals obtained at different gas flow rates leads to a decrease in the DBI, achieving better cluster separation between different odours. Such gas flow effects can be attributed to several factors, including the sample evaporation and the equilibrium of the gas-liquid and gas-solid interfaces. Proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOF-MS) experiments reveal that the compositions of odour samples vary with the different gas flow rates. It is demonstrated that a simple technique for modulating gas flow rates can significantly improve the differentiation performance of complex odours, providing an additional degree of freedom in olfactory sensing.

Science and Technology of Advanced MaterialsVol. 25(1)
University of Tsukuba (JP), National Institute for Materials Science (JP), Southern Cross University (AU)
Ministry of Education, Culture, Sports, Science and Technology, Cabinet Office, Government of Japan, Japan Society for the Promotion of Science
Openalex Percentile: Top 24%
Advanced Chemical Sensor Technologies
1.11
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