Abstract
Biosynthetic infochemical communication is an emerging scientific field employing molecular compounds for information transmission, labelling, and biochemical interfacing; having potential application in diverse areas ranging from pest management to group coordination of swarming robots. Our communication system comprises a chemoemitter module that encodes information by producing volatile pheromone components and a chemoreceiver module that decodes the transmitted ratiometric information via polymer-coated piezoelectric Surface Acoustic Wave Resonator (SAWR) sensors. The inspiration for such a system is based on the pheromone-based communication between insects. Ten features are extracted from the SAWR sensor response and analysed using multi-variate classification techniques, i.e., Linear Discriminant Analysis (LDA), Probabilistic Neural Network (PNN), and Multilayer Perception Neural Network (MLPNN) methods, and an optimal feature subset is identified. A combination of steady state and transient features of the sensor signals showed superior performances with LDA and MLPNN. Although MLPNN gave excellent results reaching 100% recognition rate at 400 s, over all time stations PNN gave the best performance based on an expanded data-set with adjacent neighbours. In this case, 100% of the pheromone mixtures were successfully identified just 200 s after they were first injected into the wind tunnel. We believe that this approach can be used for future chemical communication employing simple mixtures of airborne molecules.
Highlights
For over half a century, biomimetics has evolved as a research discipline studying biological characteristics and operational principles of living organisms to apply in areas such as robotics, sensor and actuator design, complex system integration, and artificial intelligence [1]
The recognition rate and speed are determined, responses, including Orig, Zscore, AR, XC and LnF, recognition rates are approximately 50% in the the performance of recognition based on single features, combined features, and sequential selected initial period (200 s–500 s), and improve with time, which could reach over 90% after 800 s
A biomimetic infochemical communication system in which insect pheromones are employed as molecular messengers is presented and infochemical transferring experiments have been performed
Summary
For over half a century, biomimetics has evolved as a research discipline studying biological characteristics and operational principles of living organisms to apply in areas such as robotics, sensor and actuator design, complex system integration, and artificial intelligence [1]. With their sensitive olfactory system, rely on volatile pheromones as signal messengers to locate their mates, detect food sources, organize groups, and avoid dangers from predators. These ratiometric chemical messages are decoded by the peripheral olfactory system of the insect, which is subsequently translated into robust behavioural responses under turbulent, real-world conditions [2]. Insects use their antennae to detect the nature, intensity, and gradient direction of volatile chemical compounds. Biosynthetic infochemical communication could be applied to automated identification
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