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

作者： Daigo Terutsuki1, Tomoya Uchida2, Chihiro Fukui3, Yuji Sukekawa1, Yuki Okamoto4, Ryohei Kanzaki1 1Research Center for Advanced Science and Technology,The University of Tokyo, 2Department of Mechano-Informatics, Graduate School of Information Science and Technology,The University of Tokyo, 3Department of Applied Biological Science, Graduate School of Science and Technology,Tokyo University of Science, 4Sensing System Research Center,National Institute of Advanced Industrial Science and Technology

简介：

Overview

This study presents experimental protocols for a bio-hybrid odor-detecting drone utilizing silkmoth antennae. The research details the operation of an electroantennogram device and the design of a drone for odor source localization.

Key Study Components

Area of Science

• Neuroscience
• Bio-hybrid robotics

Background

• Silkmoth antennae are sensitive to odor molecules.
• Electroantennography (EAG) is a technique used to measure the responses of these antennae to odors.
• Bio-hybrid drones can enhance odor detection capabilities.
• Odor source localization is crucial for various applications, including environmental monitoring.

Purpose of Study

• To develop a bio-hybrid drone that can efficiently detect and localize odor sources.
• To demonstrate the functionality of silkmoth antennae in a drone setting.
• To utilize a spiral-surge algorithm for odor source localization.

Methods Used

• Isolation of silkmoth antennae and attachment to EAG device.
• Setup of odor stimulation system using bombykol.
• Integration of EAG device with the drone for data acquisition.
• Implementation of a spiral search algorithm for odor localization.

Main Results

• The EAG device reliably responded to odor stimulations.
• The drone detected bombykol and identified the direction of the odor plume.
• Signal intensity varied based on the presence of a sensor enclosure.
• Detection time of the EAG device was approximately one second.

Conclusions

• The bio-hybrid drone represents a significant advancement in odor detection technology.
• This research paves the way for future applications in bio-hybrid robotics.
• Further studies could enhance the efficiency of odor localization algorithms.

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