Digital Technologies in Olfaction
Fundamentals to Applications
- 1st Edition - January 27, 2025
- Imprint: Elsevier
- Editor: Takamichi Nakamoto
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 5 7 2 1 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 5 7 2 2 - 6
Digital Technologies in Olfaction: Fundamentals to Applications provides a comprehensive overview addressing how recent, digital, technological advances can be applied to olfact… Read more
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Request a sales quoteDigital Technologies in Olfaction: Fundamentals to Applications provides a comprehensive overview addressing how recent, digital, technological advances can be applied to olfaction. With an informatics approach into chemistry, the book introduces the extension of chemometrics in a modernized way such as deep learning and AI and applies it to machine olfaction.
The book is systematically divided into three main sections: Odor sensing systems: Provides an overview for a variety of devices for odor sensing systems and addresses the concept of active sensing (sensing methodology) and its application to machine olfaction; Cheminformatics: Introduces chemometrics and the concept of odor space. This section also addresses odor reproduction and odor impression predictions; Olfactory displays: Addresses the applications of odor presentation and olfactory display. This section enables its readers to learn a modernized way of scent presentation.
Digital Technologies in Olfaction: Fundamentals to Applications is a valuable resource for chemists and biologists who are interested in olfaction and artificial intelligence.
The book is systematically divided into three main sections: Odor sensing systems: Provides an overview for a variety of devices for odor sensing systems and addresses the concept of active sensing (sensing methodology) and its application to machine olfaction; Cheminformatics: Introduces chemometrics and the concept of odor space. This section also addresses odor reproduction and odor impression predictions; Olfactory displays: Addresses the applications of odor presentation and olfactory display. This section enables its readers to learn a modernized way of scent presentation.
Digital Technologies in Olfaction: Fundamentals to Applications is a valuable resource for chemists and biologists who are interested in olfaction and artificial intelligence.
- Systematically presents up-to-date developments in olfaction for a chemistry audience
- Addresses modernized chemometrics for olfaction
- Presents the digitization of olfaction and how it can be applied to sensing, cheminformatics, and odor presentation
Chemists and biologists who are interested in olfaction and artificial intelligence, Chemometricians, Researchers and engineers at R&D and market sections of cosmetic, perfume, flavor, food and beverage, agriculture and medical companies
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- About the editor
- Preface
- Section 1: Background
- Chapter 1. Introduction to digital technologies in olfaction
- Abstract
- References
- Chapter 2. Physiology of olfactory sense
- Abstract
- 2.1 Introduction of mammalian olfactory system
- 2.2 Leveraging computational and machine learning techniques for olfactory research
- 2.3 AI disclosure
- References
- Section 2: Odor sensing system
- Chapter 3. Overview of olfactory sensors
- Abstract
- 3.1 Odor sensing system
- 3.2 Classification of olfactory sensor devices
- 3.3 Gravimetric sensors
- 3.4 Conductance based sensors
- 3.5 Electrochemical sensors
- 3.6 Optical sensors
- 3.7 Nose chip
- 3.8 Analytical apparatus approach
- 3.9 Summary
- References
- Chapter 4. Quartz crystal microbalance sensors
- Abstract
- 4.1 Introduction
- 4.2 Principle and method
- 4.3 Quartz crystal microbalance measurement methods
- 4.4 Application area
- 4.5 Summary
- 4.6 Artificial Intelligence disclosure
- References
- Chapter 5. Odor biosensor
- Abstract
- 5.1 Odor biosensor
- 5.2 Conception of odor biosensor
- 5.3 Current odor biosensors
- 5.4 Odor biosensors based on cell-expressing olfactory receptor
- 5.5 Summary
- References
- Chapter 6. Active odor sensing system
- Abstract
- 6.1 Active sensing
- 6.2 Temperature of operation
- 6.3 Gas flow rate
- 6.4 Frequency selection
- 6.5 Modification of location
- 6.6 Chemical gas blending feedback systems
- 6.7 Future studies
- References
- Section 3: Cheminformatics in machine olfaction
- Chapter 7. Fundamentals of chemometrics techniques
- Abstract
- 7.1 Classification of chemometrics techniques
- 7.2 Feature extraction techniques
- 7.3 Classification method
- 7.4 Regression method
- 7.5 Clustering technique
- 7.6 Application of neural network
- 7.7 Summary
- References
- Chapter 8. Concept of odor space
- Abstract
- 8.1 Introduction
- 8.2 Odor space and its dimensionality
- 8.3 Summary of concept of odor space
- References
- Chapter 9. Odor impression prediction using multidimensional data analysis
- Abstract
- 9.1 Introduction
- 9.2 Input and output of the odor impression–predictive model
- 9.3 Odor impression prediction using multidimensional data analysis
- 9.4 Deep learning method
- 9.5 Summary
- Reference
- Chapter 10. Odor impression prediction using natural language processing
- Abstract
- 10.1 Introduction
- 10.2 Concept of odor impression predictive model
- 10.3 Case study 1: odor impression prediction using binary sensory data
- 10.4 Case study 2: odor impression prediction with continuous values from the score with binary sensory data
- 10.5 Summary
- References
- Chapter 11. Odor reproduction using odor components
- Abstract
- 11.1 Introduction
- 11.2 Finding an appropriate set of odor components for odor reproduction
- 11.3 Odor reproduction in olfactory display and odor recorder
- 11.4 Conclusion
- References
- Chapter 12. Odor reproduction based on several divergences
- Abstract
- 12.1 Introduction
- 12.2 Methods for odor reproduction analysis
- 12.3 Different divergences for odor reproduction analysis
- 12.4 Conclusion
- References
- Chapter 13. Analysis for interference removal in odor reproduction
- Abstract
- 13.1 Introduction
- 13.2 Overview of interference and its removal using independent component analysis in odorant analysis
- 13.3 Interference removal in odor reproduction analysis using independent component analysis
- 13.4 Conclusion
- References
- Section 4: Olfactory displays
- Chapter 14. Fundamental techniques of olfactory displays
- Abstract
- 14.1 Background
- 14.2 Odor generation method
- 14.3 Odor delivery method
- 14.4 Olfactory display devices
- 14.5 Applications of olfactory displays
- 14.6 Summary
- References
- Chapter 15. Multicomponent olfactory displays
- Abstract
- 15.1 Introduction
- 15.2 Mass flow controller
- 15.3 High-speed switching of solenoid valve
- 15.4 Autosampler
- 15.5 Inkjet devices
- 15.6 Surface acoustic wave atomizer
- 15.7 Odor reproduction using olfactory display
- 15.8 Summary
- References
- Chapter 16. Wearable-olfactory displays
- Abstract
- 16.1 Background
- 16.2 Wearable-olfactory display with micro pump
- 16.3 Wearable-olfactory display with micro dispenser and surface acoustic wave atomizer
- 16.4 Comparison of wearable-olfactory display with desktop-olfactory displays
- 16.5 Summary
- References
- Chapter 17. Digital contents with scents
- Abstract
- 17.1 Background
- 17.2 Movie/animation with scents
- 17.3 Game with scents
- 17.4 Contents using spatiotemporal effect
- 17.5 Contents using crossmodal effect
- 17.6 Narrative contents with scents
- 17.7 Summary
- References
- Chapter 18. Olfactory VR environment with computational fluid dynamics
- Abstract
- 18.1 Introduction
- 18.2 Basic equations of fluid dynamics
- 18.3 Analysis of odor distribution and its application to VR
- 18.4 Computational fluid dynamics application to disaster drill
- 18.5 Summary
- References
- Chapter 19. Olfactory displays for teleolfaction
- Abstract
- 19.1 Introduction
- 19.2 Approach toward odor transmission
- 19.3 Experimental setup for teleolfaction
- 19.4 Experimental result of teleolfaction
- 19.5 Teleolfaction without sensing system
- 19.6 Summary
- References
- Chapter 20. Olfactory Art
- Abstract
- 20.1 Olfactory art, science, and technology—a transdisciplinary exploration
- 20.2 Science, art, and olfaction—research projects
- 20.3 Olfactory game—digital developments
- 20.4 Interactive Smellscape
- 20.5 Transdisciplinary olfactory display research
- References
- Section 5: Conclusions
- Chapter 21. Conclusions
- Abstract
- 21.1 Conclusions
- References
- Chapter 22. Future of machine olfaction
- Abstract
- 22.1 Future of machine olfaction
- References
- Index
- Edition: 1
- Published: January 27, 2025
- Imprint: Elsevier
- No. of pages: 300
- Language: English
- Paperback ISBN: 9780443157219
- eBook ISBN: 9780443157226
TN
Takamichi Nakamoto
Takamichi Nakamoto has studied machine olfaction for more than 30 years. He received his B.E. and M.E. degrees in 1982 and 1984, respectively, and his Ph.D. degree in electrical and electronic engineering from Tokyo Institute of Technology, Tokyo, Japan. He worked for Hitachi from 1984 to 1987. In 1987, he joined Tokyo Institute of Technology as a Research Associate. In 1993, he became an Associate Professor with the Department of Electrical and Electronics Engineering, Tokyo Institute of Technology. From 1996 to 1997, he was a Visiting Scientist at Pacific Northwest Laboratories, Richland, WA, USA. He organized digital olfaction society conference in 2014. He was a vice president of Sensors and Micromachine Society, Institute of Electrical Engineering, Japan from 2015-2016. He served as TPC co-chair of International Symposium on Olfaction & Electronic Noses in 2019. He is currently a professor at Institute of Innovative Research, Tokyo Institute of Technology.
Affiliations and expertise
Professor, Institute of Science Tokyo, JapanRead Digital Technologies in Olfaction on ScienceDirect