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Special Issue "Machine Olfaction and Taste"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".

Deadline for manuscript submissions: 30 September 2020.

Special Issue Editors

Prof. Dr. Takamichi Nakamoto
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Guest Editor
Institute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8503, Japan
Interests: human olfactory interface; odor recorder; odor reproduction; measurement technology; sensor; sensor signal processing
Dr. Hidefumi Mitsuno
Website
Guest Editor
Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan
Interests: insect olfaction; olfactory receptor; gustatory receptor; genetic engineering; cell-based biosensor

Special Issue Information

Dear Colleagues,

Sensors for olfaction and taste have been studied for more than three decades, and many researchers proposed various types of chemical sensors and biosensors. Sensors with different characteristics are typically used together as a sensor array in the same manner as biological olfactory systems. Thus, multidimensional data analysis such as pattern recognition has been studied for a long time. The recent topic is deep learning technique for electronic nose. The sensor system, including IoT or cyber physical systems, is also a hot topic. Moreover, many researchers study mobile robots with chemical senses.

In addition to sensing techniques, the device and the method to present olfactory and gustatory information are important. We can manufacture the contents with scents and tastes, such as game, movie, etc. As olfactory and taste displays are relatively new, we have many things to do in that field. Moreover, the combination of sensing with presentation technologies, such as odor recorder, teleolfaction, etc., are expected to evolve.

“Machine Olfaction and Taste” includes both the sensing and presentation technologies of chemical senses. This Special Issue is aimed at representing the latest research of machine olfaction and taste. Contributions to sensor material, device, signal processing, data analysis, robot, display technologies, and their combination related to olfaction and taste are welcome.

Prof. Dr. Takamichi Nakamoto
Dr. Hidefumi Mitsuno
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • odor sampling
  • chemical sensor
  • biosensor
  • electronic nose
  • electronic tongue
  • sensor system
  • IoT
  • multidimensional data analysis
  • signal processing
  • deep learning
  • mobile robot
  • olfactory and taste displays
  • multi-modal interaction

Published Papers (1 paper)

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Research

Open AccessArticle
Development of Electronic Nose for Qualitative and Quantitative Monitoring of Volatile Flammable Liquids
Sensors 2020, 20(7), 1817; https://doi.org/10.3390/s20071817 - 25 Mar 2020
Abstract
A real-time electric nose (E-nose) with a metal oxide sensor (MOS) array was developed to monitor 5 highly flammable liquids (ethanol, tetrahydrofuran, turpentine, lacquer thinner, and gasoline) in this work. We found that temperature had a significant impact on the test results and [...] Read more.
A real-time electric nose (E-nose) with a metal oxide sensor (MOS) array was developed to monitor 5 highly flammable liquids (ethanol, tetrahydrofuran, turpentine, lacquer thinner, and gasoline) in this work. We found that temperature had a significant impact on the test results and temperature control could efficiently improve the performance of our E-nose. The results of our qualitative analysis showed that principal component analysis (PCA) could not efficiently distinguish these samples compared to a back-propagation artificial neural network (BP-ANN) which had a 100% accuracy rate on the test samples. Quantitative analysis was performed by regression analysis and the average errors were 9.1%–18.4%. In addition, through anti-interference training, the E-nose could filter out the potential false alarm caused by mosquito repellent, perfume and hair jelly. Full article
(This article belongs to the Special Issue Machine Olfaction and Taste)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Learning Chemical Maps from Distributed Sensor Data

Author: Santiago Marco

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