Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
| Autor: | Yuji Sukekawa, Chihiro Fukui, Yuki Okamoto, Daigo Terutsuki, Tomoya Uchida, Ryohei Kanzaki |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Arthropod Antennae
Security monitoring Insecta General Immunology and Microbiology Computer science General Chemical Engineering General Neuroscience Biosensing Techniques Bombyx General Biochemistry Genetics and Molecular Biology Drone Electroantennography Odor source localization Odor Odorants Animals Biological system Biosensor |
| Zdroj: | Journal of visualized experiments : JoVE. (174) |
| ISSN: | 1940-087X |
| Popis: | Small drones with chemical or biosensor devices that can detect airborne odorant molecules have attracted considerable attention owing to their applicability in environmental and security monitoring and search-and-rescue operations. Small drones with commercial metal-oxide-semiconductor (MOX) gas sensors have been developed for odor source localization; however, their real-time-odor-detection performance has proven inadequate. However, biosensing technologies based on insect olfactory systems exhibit relatively high sensitivity, selectivity, and real-time response with respect to odorant molecules compared to commercial MOX gas sensors. In such devices, excised insect antennae function as portable odorant biosensor elements and have been found to deliver excellent sensing performance. This study presents experimental protocols for odorant-molecule detection in the air using a small autonomous bio-hybrid drone based on a mountable electroantennography (EAG) device incorporating silkmoth antennae. We developed a mountable EAG device including sensing/processing parts with a Wi-Fi module. The device was equipped with a simple sensor enclosure to enhance the sensor directivity. Thus, odor source localization was conducted using the spiral-surge algorithm, which does not assume an upwind direction. The experimental bio-hybrid odor-detecting drone identified real-time odorant-concentration differences in a pseudo-open environment (outside a wind tunnel) and localized the source. The developed drone and associated system can serve as an efficient odorant molecule-detection tool and a suitable flight platform for developing odor source localization algorithms owing to its high programmability. |
| Databáze: | OpenAIRE |
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