Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System
AbstractBiosynthetic 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. View Full-Text
Share & Cite This Article
Wei, G.; Thomas, S.; Cole, M.; Rácz, Z.; Gardner, J.W. Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System. Sensors 2017, 17, 2489.
Wei G, Thomas S, Cole M, Rácz Z, Gardner JW. Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System. Sensors. 2017; 17(11):2489.Chicago/Turabian Style
Wei, Guangfen; Thomas, Sanju; Cole, Marina; Rácz, Zoltán; Gardner, Julian W. 2017. "Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System." Sensors 17, no. 11: 2489.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.