Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Human Olfactory Receptor Sensor for Odor Reconstitution

Version 1 : Received: 24 May 2023 / Approved: 26 May 2023 / Online: 26 May 2023 (02:38:05 CEST)

A peer-reviewed article of this Preprint also exists.

Kuroda, S.; Nakaya-Kishi, Y.; Tatematsu, K.; Hinuma, S. Human Olfactory Receptor Sensor for Odor Reconstitution. Sensors 2023, 23, 6164. Kuroda, S.; Nakaya-Kishi, Y.; Tatematsu, K.; Hinuma, S. Human Olfactory Receptor Sensor for Odor Reconstitution. Sensors 2023, 23, 6164.

Abstract

Among the five human senses, light, sound, and force perceived by eye, ear, and skin, respectively are physical actions, and therefore can be easily measured and expressed as objective, univocal, and simple digital data with physical quantity. However, taste and odor molecules perceived by tongue and nose are chemical actions, it has been difficult to express them as objective and univocal digital data, since no reference chemicals can be defined. Therefore, while the recording, saving, transmitting to remote locations, and replaying human visual, auditory, and tactile information as digital data in digital devices has been realized (this series of data flow is defined as DX (digital transformation) in this review), the DX of human taste and odor information is not yet in the realization stage. Particularly, since there are at least 400,000 types of odor molecules and an infinite number of complex odors that are mixtures of these molecules, it has been considered extremely difficult to realize "human olfactory DX" by converting all odors perceived by the human olfaction into digital data. In this review, we discuss the current status and future prospects of the development of "human olfactory DX," which we believe can be realized by utilizing odor sensors that employ the olfactory receptors (ORs) that support human olfaction as sensing molecules (i.e., human OR sensor).

Keywords

olfactory receptor; odor sensor; cell array sensor; odor matrix; odor matrix library

Subject

Biology and Life Sciences, Biology and Biotechnology

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