Odor sensing technologies for visualization of odor quality and space

Chuanjun Liu, Kenshi Hayashi

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

In recent years, sensors for objective evaluation of quality and quantity of odor substances have shown a wide range of potential applications in many fields. However, the odor quality is difficult to be expressed by quantitative data because the odor sensation is brought about by a variety of volatile compounds, which form a complicated, subjective olfactory sense. Recent progress in molecular biological research of the olfactory system have shown that an odor cluster map produced on the surface of olfactory bulb through olfactory receptors presents essential information for brain to perceive odorants. The clustering perception model provides us with a new concept to design odor sensors with performance equivalent to mammalian olfactory system. The biological-inspired odor sensing based on various molecular recognition technologies, such as partial structure recognized water membrane/Pt electrodes, benzene-patterned self-assembled monolayer (SAM) layers, size and polarity selected molecular sieve materials, and molecularly imprinted polymer (MIP) adsorbents, are introduced to construct an artificial odor map and to evaluate the odor quality. On the other hand, odorants in our living environment can only be perceived by the sense of our olfactory, and odor space is invisible to eyes. The temporal and spatial distribution of odorants in environment is also important information for human and other animals. However, the visualization of odor space by using conventional sensor technologies is a difficult task due to the limited spatiotemporal resolution. Here optical sensing technologies based on fluorescence imaging and localized surface plasmon resonance (LSPR) are developed to visualize the spatiotemporal distribution of odorants in environment. In addition, the application of the developed sensors in the visualization of human body odor and odor release from fragrance encapsulated cyclodextrin inclusion complexes are presented also.

Original languageEnglish
Title of host publicationSmart Sensors and Systems
PublisherSpringer International Publishing
Pages191-212
Number of pages22
ISBN (Electronic)9783319147116
ISBN (Print)9783319147109
DOIs
Publication statusPublished - Jan 1 2015

Fingerprint

Odors
Visualization
Sensors
Fragrances
Molecular recognition
Cyclodextrins
Molecular sieves
Surface plasmon resonance
Self assembled monolayers
Adsorbents
Spatial distribution
Benzene
Brain
Animals
Fluorescence
Membranes
Imaging techniques

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science(all)

Cite this

Liu, C., & Hayashi, K. (2015). Odor sensing technologies for visualization of odor quality and space. In Smart Sensors and Systems (pp. 191-212). Springer International Publishing. https://doi.org/10.1007/978-3-319-14711-6_9

Odor sensing technologies for visualization of odor quality and space. / Liu, Chuanjun; Hayashi, Kenshi.

Smart Sensors and Systems. Springer International Publishing, 2015. p. 191-212.

Research output: Chapter in Book/Report/Conference proceedingChapter

Liu, C & Hayashi, K 2015, Odor sensing technologies for visualization of odor quality and space. in Smart Sensors and Systems. Springer International Publishing, pp. 191-212. https://doi.org/10.1007/978-3-319-14711-6_9
Liu C, Hayashi K. Odor sensing technologies for visualization of odor quality and space. In Smart Sensors and Systems. Springer International Publishing. 2015. p. 191-212 https://doi.org/10.1007/978-3-319-14711-6_9
Liu, Chuanjun ; Hayashi, Kenshi. / Odor sensing technologies for visualization of odor quality and space. Smart Sensors and Systems. Springer International Publishing, 2015. pp. 191-212
@inbook{0b7519dce89f4db8986e0c54962d6ca3,
title = "Odor sensing technologies for visualization of odor quality and space",
abstract = "In recent years, sensors for objective evaluation of quality and quantity of odor substances have shown a wide range of potential applications in many fields. However, the odor quality is difficult to be expressed by quantitative data because the odor sensation is brought about by a variety of volatile compounds, which form a complicated, subjective olfactory sense. Recent progress in molecular biological research of the olfactory system have shown that an odor cluster map produced on the surface of olfactory bulb through olfactory receptors presents essential information for brain to perceive odorants. The clustering perception model provides us with a new concept to design odor sensors with performance equivalent to mammalian olfactory system. The biological-inspired odor sensing based on various molecular recognition technologies, such as partial structure recognized water membrane/Pt electrodes, benzene-patterned self-assembled monolayer (SAM) layers, size and polarity selected molecular sieve materials, and molecularly imprinted polymer (MIP) adsorbents, are introduced to construct an artificial odor map and to evaluate the odor quality. On the other hand, odorants in our living environment can only be perceived by the sense of our olfactory, and odor space is invisible to eyes. The temporal and spatial distribution of odorants in environment is also important information for human and other animals. However, the visualization of odor space by using conventional sensor technologies is a difficult task due to the limited spatiotemporal resolution. Here optical sensing technologies based on fluorescence imaging and localized surface plasmon resonance (LSPR) are developed to visualize the spatiotemporal distribution of odorants in environment. In addition, the application of the developed sensors in the visualization of human body odor and odor release from fragrance encapsulated cyclodextrin inclusion complexes are presented also.",
author = "Chuanjun Liu and Kenshi Hayashi",
year = "2015",
month = "1",
day = "1",
doi = "10.1007/978-3-319-14711-6_9",
language = "English",
isbn = "9783319147109",
pages = "191--212",
booktitle = "Smart Sensors and Systems",
publisher = "Springer International Publishing",

}

TY - CHAP

T1 - Odor sensing technologies for visualization of odor quality and space

AU - Liu, Chuanjun

AU - Hayashi, Kenshi

PY - 2015/1/1

Y1 - 2015/1/1

N2 - In recent years, sensors for objective evaluation of quality and quantity of odor substances have shown a wide range of potential applications in many fields. However, the odor quality is difficult to be expressed by quantitative data because the odor sensation is brought about by a variety of volatile compounds, which form a complicated, subjective olfactory sense. Recent progress in molecular biological research of the olfactory system have shown that an odor cluster map produced on the surface of olfactory bulb through olfactory receptors presents essential information for brain to perceive odorants. The clustering perception model provides us with a new concept to design odor sensors with performance equivalent to mammalian olfactory system. The biological-inspired odor sensing based on various molecular recognition technologies, such as partial structure recognized water membrane/Pt electrodes, benzene-patterned self-assembled monolayer (SAM) layers, size and polarity selected molecular sieve materials, and molecularly imprinted polymer (MIP) adsorbents, are introduced to construct an artificial odor map and to evaluate the odor quality. On the other hand, odorants in our living environment can only be perceived by the sense of our olfactory, and odor space is invisible to eyes. The temporal and spatial distribution of odorants in environment is also important information for human and other animals. However, the visualization of odor space by using conventional sensor technologies is a difficult task due to the limited spatiotemporal resolution. Here optical sensing technologies based on fluorescence imaging and localized surface plasmon resonance (LSPR) are developed to visualize the spatiotemporal distribution of odorants in environment. In addition, the application of the developed sensors in the visualization of human body odor and odor release from fragrance encapsulated cyclodextrin inclusion complexes are presented also.

AB - In recent years, sensors for objective evaluation of quality and quantity of odor substances have shown a wide range of potential applications in many fields. However, the odor quality is difficult to be expressed by quantitative data because the odor sensation is brought about by a variety of volatile compounds, which form a complicated, subjective olfactory sense. Recent progress in molecular biological research of the olfactory system have shown that an odor cluster map produced on the surface of olfactory bulb through olfactory receptors presents essential information for brain to perceive odorants. The clustering perception model provides us with a new concept to design odor sensors with performance equivalent to mammalian olfactory system. The biological-inspired odor sensing based on various molecular recognition technologies, such as partial structure recognized water membrane/Pt electrodes, benzene-patterned self-assembled monolayer (SAM) layers, size and polarity selected molecular sieve materials, and molecularly imprinted polymer (MIP) adsorbents, are introduced to construct an artificial odor map and to evaluate the odor quality. On the other hand, odorants in our living environment can only be perceived by the sense of our olfactory, and odor space is invisible to eyes. The temporal and spatial distribution of odorants in environment is also important information for human and other animals. However, the visualization of odor space by using conventional sensor technologies is a difficult task due to the limited spatiotemporal resolution. Here optical sensing technologies based on fluorescence imaging and localized surface plasmon resonance (LSPR) are developed to visualize the spatiotemporal distribution of odorants in environment. In addition, the application of the developed sensors in the visualization of human body odor and odor release from fragrance encapsulated cyclodextrin inclusion complexes are presented also.

UR - http://www.scopus.com/inward/record.url?scp=84943785333&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84943785333&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-14711-6_9

DO - 10.1007/978-3-319-14711-6_9

M3 - Chapter

AN - SCOPUS:84943785333

SN - 9783319147109

SP - 191

EP - 212

BT - Smart Sensors and Systems

PB - Springer International Publishing

ER -