Visualization of odor space and quality

Fumihiro Sassa; Chuanjun Liu; Kenshi Hayashi

doi:10.1016/B978-0-12-815409-0.00018-8

Visualization of odor space and quality

Fumihiro Sassa, Chuanjun Liu, Kenshi Hayashi

Electronic Devices

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Citations (Scopus)

Abstract

Our living environment is surrounded by a variety of odors. The visualized detection of odorant molecules may explore many new applications that cannot be realized by conventional sensors. This chapter introduces some novel sensing technologies that can be used to visualize both the odor space and odor quality. Fluorescence imaging sensors are developed to record the shape of odor sources and the spatiotemporal distribution of odor flows. Multispectral imaging-based odor visualization shows power in the structure-related discrimination of different odorant molecules. Localized surface plasmon resonance (LSPR) sensors based on metal nanoparticles show advantages in high-speed response and recovery in gas or vapor sensing. A sensor robot based on the LSPR sensors is developed to visualize the odor information from on-ground odor sources. In addition, data analysis based on physicochemical parameters of odorant molecules is carried out to demonstrate the difference of odor quality by using network-graph techniques.

Original language	English
Title of host publication	Chemical, Gas, and Biosensors for Internet of Things and Related Applications
Publisher	Elsevier
Pages	253-269
Number of pages	17
ISBN (Electronic)	9780128154090
DOIs	https://doi.org/10.1016/B978-0-12-815409-0.00018-8
Publication status	Published - Jan 1 2019

All Science Journal Classification (ASJC) codes

Chemistry(all)

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10.1016/B978-0-12-815409-0.00018-8

Cite this

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abstract = "Our living environment is surrounded by a variety of odors. The visualized detection of odorant molecules may explore many new applications that cannot be realized by conventional sensors. This chapter introduces some novel sensing technologies that can be used to visualize both the odor space and odor quality. Fluorescence imaging sensors are developed to record the shape of odor sources and the spatiotemporal distribution of odor flows. Multispectral imaging-based odor visualization shows power in the structure-related discrimination of different odorant molecules. Localized surface plasmon resonance (LSPR) sensors based on metal nanoparticles show advantages in high-speed response and recovery in gas or vapor sensing. A sensor robot based on the LSPR sensors is developed to visualize the odor information from on-ground odor sources. In addition, data analysis based on physicochemical parameters of odorant molecules is carried out to demonstrate the difference of odor quality by using network-graph techniques.",

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ER -

Visualization of odor space and quality

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