Real-Time Odor Discrimination Using Single Antenna of Insect

In this letter, a system that discriminates between two odorants in real-time with a single antenna of an insect was constructed. In previous studies, odorants were discriminated through arraying multiple types of sensors. However, the use of a sensor array enlarges the entire system and requires complex signal processing, which makes it difficult to mount the system on a quadcopter with limited payloads or an autonomous robot with low computational power. On the other hand, the antenna of an insect is composed of several olfactory receptors; thus, a single antenna responds to multiple odorants. Therefore, a system for discriminating between multiple odorants from the electroantennogram (EAG) signal of a single antenna of an insect is proposed. An antenna of an adult male silkmoth is employed; the silkmoth antenna exhibits an electric potential change when detecting an odor, but the difference in the EAG amplitude and recovery time depends on the type of odorant. Since EAG is a type of neural signal, it is difficult to perform odor discrimination by simply setting the threshold, because it drifts due to noise. Therefore, the Hodgkin–Huxley model (HH model) was applied to the raw EAG signal as a dynamic filter, and the spike firing rate of the output value was calculated using the HH model. Then, the odorants were discriminated against based on the magnitude of the spike firing rate. A series of signal processing was implemented in a microcontroller, and the experiments indicated that all antennae demonstrated a discrimination performance of 90$\%$ or more.

[1]  Ryohei Kanzaki,et al.  A Single Sex Pheromone Receptor Determines Chemical Response Specificity of Sexual Behavior in the Silkmoth Bombyx mori , 2011, PLoS genetics.

[2]  John N. Lygouras,et al.  Artificial Odor Discrimination System Using Electronic Nose and Neural Networks for the Identification of Urinary Tract Infection , 2008, IEEE Transactions on Information Technology in Biomedicine.

[3]  Junwei Zhu,et al.  Odor discrimination using insect electroantennogram responses from an insect antennal array. , 2002, Chemical senses.

[4]  Daisuke Kurabayashi,et al.  Experimental Analysis of the Influence of Olfactory Property on Chemical Plume Tracing Performance , 2019, IEEE Robotics and Automation Letters.

[5]  Yukio Ishikawa,et al.  In vivo functional characterisation of pheromone binding protein-1 in the silkmoth, Bombyx mori , 2018, Scientific Reports.

[6]  Ryohei Kanzaki,et al.  Modeling of the Adaptive Chemical Plume Tracing Algorithm of an Insect Using Fuzzy Inference , 2020, IEEE Transactions on Fuzzy Systems.

[7]  R. Kanzaki,et al.  Pheromone responsiveness threshold depends on temporal integration by antennal lobe projection neurons , 2013, Proceedings of the National Academy of Sciences.

[8]  Jian Huang,et al.  Odor source localization algorithms on mobile robots: A review and future outlook , 2019, Robotics Auton. Syst..

[9]  W. Jatmiko,et al.  Artificial odor discrimination system using multiple quartz resonator sensors and various neural networks for recognizing fragrance mixtures , 2006, IEEE Sensors Journal.

[10]  Giovanni Neri,et al.  First Fifty Years of Chemoresistive Gas Sensors , 2015 .

[11]  Kevin M. Brink,et al.  The “Smellicopter,” a bio-hybrid odor localizing nano air vehicle , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[12]  T. Baker,et al.  Real-time odor discrimination using a bioelectronic sensor array based on the insect electroantennogram , 2008, Bioinspiration & biomimetics.

[13]  Makiko Suwa,et al.  Control of Local Rho GTPase Crosstalk by Abr , 2011, Current Biology.

[14]  Yuqiao Gu,et al.  Multiphasic On/Off Pheromone Signalling in Moths as Neural Correlates of a Search Strategy , 2013, PloS one.

[15]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.