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Updated: Feb 1, 2026

Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase
Published on: April 23, 2019
Data on preparation and characterization of an insect odorant receptor based biosensor
Roshan Khadka1,2, Nihan Aydemir1,2, Colm Carraher3
1Polymer Electronic Research Centre, School of Chemical Sciences, University of Auckland, Auckland 1023, New Zealand.
Insect odorant receptors (OrXs), when reconstituted into liposomes, form a sensitive biosensor for detecting volatile organic compounds. This method enables precise odorant detection using electrochemical and QCM-D techniques.
Area of Science:
- Biochemistry
- Biosensor Technology
- Analytical Chemistry
Background:
- Insect odorant receptors (OrXs) exhibit high sensitivity and selectivity for volatile organic compounds (VOCs).
- OrXs can serve as recognition elements in biosensors for detecting airborne chemicals.
Purpose of the Study:
- To develop a method for expressing and purifying insect OrXs.
- To reconstitute purified OrXs into liposomes for biosensor applications.
- To characterize and validate the performance of OrX-based biosensors.
Main Methods:
- Expression and purification of insect OrXs.
- Reconstitution of OrXs into artificial lipid bilayers (liposomes).
- Immobilization of OrX/liposomes onto a gold surface via covalent attachment.
- Characterization using Quartz Crystal Microbalance with Dissipation monitoring (QCM-D).
- Detection of odorant interactions using Electrochemical Impedance Spectroscopy (EIS) and QCM-D.
Main Results:
- Successful expression, purification, and reconstitution of insect OrXs into liposomes.
- Stable immobilization of OrX/liposomes on a gold surface.
- Demonstrated sensitivity and selectivity of the biosensor towards specific odorants.
- Quantification of odorant interactions using EIS and QCM-D.
Conclusions:
- Insect OrXs reconstituted into liposomes are effective recognition elements for biosensors.
- The developed biosensor platform demonstrates high sensitivity and selectivity for odorant detection.
- This approach offers a promising method for developing ultrasensitive biosensors for VOC analysis.
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