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Related Concept Videos

Olfaction01:25

Olfaction

46.9K
The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
46.9K

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Binary mixture quantification using cell-based odor biosensor system with active sensing.

Yuji Sukekawa1, Hidefumi Mitsuno2, Ryohei Kanzaki2

  • 1Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST), Institute of Innovative Research (IIR), Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori, Yokohama, Kanagawa, 226-8503, Japan.

Biosensors & Bioelectronics
|February 13, 2021
PubMed
Summary
This summary is machine-generated.

This study developed a novel cell-based odor sensor array using insect olfactory receptors. The active sensing method accurately quantifies odorant concentrations, even with fluctuating responses.

Keywords:
Active sensingCell-based sensorImage processingOdor biosensorQuantification

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Area of Science:

  • Biotechnology
  • Biosensor technology
  • Olfactory receptor research

Background:

  • Organisms use numerous olfactory receptors to detect environmental odorants.
  • Existing odor biosensors aim to replicate this natural olfactory mechanism.
  • Insect olfactory receptors exhibit nonlinear characteristics crucial for odor sensing.

Purpose of the Study:

  • To quantify odorant concentrations using a cell-based sensor array.
  • To investigate the application of insect olfactory receptors in biosensors.
  • To develop an active sensing method for relative odorant concentration determination.

Main Methods:

  • Utilized a sensor array of cell-based odor sensors expressing insect olfactory receptors.
  • Employed an active sensing method comparing target and prepared odorant responses.
  • Integrated a real-time reference method for continuous measurement.
  • Focused on quantifying single or binary component odorant concentrations.

Main Results:

  • Successfully determined relative odorant concentrations despite response fluctuations and cell variations.
  • Confirmed the feasibility of an algorithm for optimal relative odorant concentration identification.
  • Demonstrated proof of concept for quantifying simple odorant mixtures.

Conclusions:

  • The developed active sensing method shows promise for accurate odorant quantification.
  • This approach can overcome challenges like response variability in odor biosensors.
  • The study provides foundational insights for developing advanced active sensing odor biosensors.