Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization.

Area of Science:

• Bio-hybrid systems
• Insect olfaction
• Environmental monitoring

Background:

• Commercial metal-oxide-semiconductor (MOX) gas sensors on drones show inadequate real-time odor detection for localization.
• Insect olfactory systems offer superior sensitivity, selectivity, and real-time response for biosensing.

Purpose of the Study:

• To develop and test a bio-hybrid drone system for airborne odorant molecule detection and source localization.
• To evaluate the performance of silkmoth antennae as biosensor elements in a drone-based electroantennography (EAG) device.

Main Methods:

• A mountable electroantennography (EAG) device with silkmoth antennae, sensing/processing parts, and a Wi-Fi module was developed.
• A sensor enclosure was added to enhance directivity, and the spiral-surge algorithm was used for odor source localization.
• The bio-hybrid drone operated in a pseudo-open environment to detect odorant concentration differences.

Main Results:

• The drone successfully identified real-time odorant concentration differences.
• The system effectively localized an odor source using the spiral-surge algorithm.
• The bio-hybrid drone demonstrated efficient odor detection capabilities.

Conclusions:

• The developed bio-hybrid drone system is an effective tool for odorant molecule detection.
• The platform is suitable for developing and testing odor source localization algorithms due to its programmability.
• This technology advances environmental monitoring and search-and-rescue applications.