The Library
Ratiometric decoding of pheromones for a biomimetic infochemical communication system
Tools
Tools
Tools
Wei, Guangfen, Thomas, Sanju, Cole, Marina, Racz, Zoltan and Gardner, J. W. (2017) Ratiometric decoding of pheromones for a biomimetic infochemical communication system. Sensors, 17 (11). 2489. doi:10.3390/s17112489 ISSN 1424-8220.
|
PDF
WRAP-ratiometric-decoding-pheromones-biomimetic-infochemical-communication-system-Wei-207.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (3095Kb) | Preview |
Official URL: https://doi.org/10.3390/s17112489
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.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QP Physiology T Technology > TK Electrical engineering. Electronics Nuclear engineering |
||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
| Library of Congress Subject Headings (LCSH): | Biomimetics, Pheromones, Piezoelectric devices | ||||||
| Journal or Publication Title: | Sensors | ||||||
| Publisher: | MDPI AG | ||||||
| ISSN: | 1424-8220 | ||||||
| Official Date: | 30 October 2017 | ||||||
| Dates: |
|
||||||
| Volume: | 17 | ||||||
| Number: | 11 | ||||||
| Article Number: | 2489 | ||||||
| DOI: | 10.3390/s17112489 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 30 October 2017 | ||||||
| Date of first compliant Open Access: | 30 October 2017 | ||||||
| Funder: | Sixth Framework Programme (European Commission) (FP6), Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC) | ||||||
| Grant number: | FET project No. FP6-032275 (FP6), No. 61174007 (NSFC) |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
