Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System
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 communi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/11/2489 |
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| author | Guangfen Wei Sanju Thomas Marina Cole Zoltán Rácz Julian W. Gardner |
| author_facet | Guangfen Wei Sanju Thomas Marina Cole Zoltán Rácz Julian W. Gardner |
| author_sort | Guangfen Wei |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T22:09:50Z |
| format | Article |
| id | doaj.art-3b9e49ca1d6f48ceb4d97ddc859af9ca |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:09:50Z |
| publishDate | 2017-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3b9e49ca1d6f48ceb4d97ddc859af9ca2022-12-22T04:00:35ZengMDPI AGSensors1424-82202017-10-011711248910.3390/s17112489s17112489Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication SystemGuangfen Wei0Sanju Thomas1Marina Cole2Zoltán Rácz3Julian W. Gardner4Microsensors and Bioelectronics Laboratory, School of Engineering, University of Warwick, Coventry CV4 7AL, UKMicrosensors and Bioelectronics Laboratory, School of Engineering, University of Warwick, Coventry CV4 7AL, UKMicrosensors and Bioelectronics Laboratory, School of Engineering, University of Warwick, Coventry CV4 7AL, UKMicrosensors and Bioelectronics Laboratory, School of Engineering, University of Warwick, Coventry CV4 7AL, UKMicrosensors and Bioelectronics Laboratory, School of Engineering, University of Warwick, Coventry CV4 7AL, UKBiosynthetic 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.https://www.mdpi.com/1424-8220/17/11/2489ratiometric decodingpheromonebiomimetic infochemical communicationVOC detectionSAW sensor array |
| spellingShingle | Guangfen Wei Sanju Thomas Marina Cole Zoltán Rácz Julian W. Gardner Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System Sensors ratiometric decoding pheromone biomimetic infochemical communication VOC detection SAW sensor array |
| title | Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System |
| title_full | Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System |
| title_fullStr | Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System |
| title_full_unstemmed | Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System |
| title_short | Ratiometric Decoding of Pheromones for a Biomimetic Infochemical Communication System |
| title_sort | ratiometric decoding of pheromones for a biomimetic infochemical communication system |
| topic | ratiometric decoding pheromone biomimetic infochemical communication VOC detection SAW sensor array |
| url | https://www.mdpi.com/1424-8220/17/11/2489 |
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