Efficient Gas-to-Liquid Partition Using Gas-Flow Channels for Cell-Based Gaseous Odorant Detection

Takuma Nakane, Toshihisa Osaki, Hisatoshi Mimura, Norihisa Miki, Shoji Takeuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cell-based sensors using olfactory receptors have attracted attention because of their high sensitivity and selectivity. A challenge is efficient partition of gaseous samples to the aqueous solution where the cell-based sensors reside. In this paper, we developed a device with a gas-flow channel, which allowed inflow of gaseous odorants over a well filled with aqueous solution. We considered that shear stress induced by the gas-flow at the gas-liquid interface initiate convectional mixing inside liquid and in turn, promotes partitioning of gaseous odorants into the solution. Solubility of a gaseous odorant was experimentally found to increase with the mixing strength. We further demonstrated efficient detection of a gaseous odorant using the sensor cells with the developed gas-flow device.

Original languageEnglish
Title of host publication21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages763-766
Number of pages4
ISBN (Electronic)9781665412674
DOIs
Publication statusPublished - 2021 Jun 20
Event21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021 - Virtual, Online, United States
Duration: 2021 Jun 202021 Jun 25

Publication series

Name21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021

Conference

Conference21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021
Country/TerritoryUnited States
CityVirtual, Online
Period21/6/2021/6/25

Keywords

  • Cell-based sensor
  • Gas-to-liquid partition
  • Gaseous odorant
  • Insect olfactory receptor
  • Odorant sensor

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Instrumentation

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