Literature DB >> 19153799

Detection and discrimination of mixed odor strands in overlapping plumes using an insect-antenna-based chemosensor system.

Andrew J Myrick1, Kye Chung Park, John R Hetling, Thomas C Baker.   

Abstract

Olfactory signals, a major means of communication in insects, travel in the form of turbulent odor plumes. In terrestrial environments, an odor blend emitted from a single point source exists in every strand of the plume, whereas, in confluent plumes from two different odor sources, the strands have some chance of being coincident and comprising a new third odor in those strands. Insects have the ability to detect and interpret necessary olfactory information from individual filamentous odor strands in complex multifilament odor plumes. However, behaviorists have had no way to measure the stimulus situations they are presenting to their temporally acute insect subjects when performing Y-tube olfactometer or confluent pheromone plume wind tunnel assays. We have successfully measured the degree of plume-strand mixing in confluent plumes in a wind tunnel by using a multichannel insect-antenna-based chemosensor. A PC-based computer algorithm to analyze antennal signals from the probe portion of the system performed real-time signal processing and, following a short training session, classified individual odorant/mixture strands at sub-second temporal resolution and a few tens of millimeters of spatial resolution. In our studies, the chemosensor classified a higher frequency of strands of two different odorants emitted from two closely spaced filter papers as being "mixed" when the sources were located only 1 or 2 cm apart than when the sources were 5 or 10 cm apart. These experiments demonstrate the chemosensor's potential to be used for measuring odor stimulus situations in more complex multiple-plume environments.

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Year:  2009        PMID: 19153799     DOI: 10.1007/s10886-008-9582-4

Source DB:  PubMed          Journal:  J Chem Ecol        ISSN: 0098-0331            Impact factor:   2.626


  17 in total

1.  Odour-plume dynamics influence the brain's olfactory code.

Authors:  N J Vickers; T A Christensen; T C Baker; J G Hildebrand
Journal:  Nature       Date:  2001-03-22       Impact factor: 49.962

2.  Insect-based BioFETs with improved signal characteristics.

Authors:  P Schroth; M J Schöning; P Kordos; H Lüth; S Schütz; B Weissbecker; H E Hummel
Journal:  Biosens Bioelectron       Date:  1999-03-15       Impact factor: 10.618

3.  Reiterative responses to single strands of odor promote sustained upwind flight and odor source location by moths.

Authors:  N J Vickers; T C Baker
Journal:  Proc Natl Acad Sci U S A       Date:  1994-06-21       Impact factor: 11.205

4.  Real-time odor discrimination using a bioelectronic sensor array based on the insect electroantennogram.

Authors:  A J Myrick; K-C Park; J R Hetling; T C Baker
Journal:  Bioinspir Biomim       Date:  2008-11-07       Impact factor: 2.956

5.  Optical sensor arrays for odor recognition.

Authors:  D R Walt; T Dickinson; J White; J Kauer; S Johnson; H Engelhardt; J Sutter; P Jurs
Journal:  Biosens Bioelectron       Date:  1998-09-15       Impact factor: 10.618

6.  Filamentous nature of pheromone plumes protects integrity of signal from background chemical noise in cabbage looper moth,Trichoplusia ni.

Authors:  Y B Liu; K F Haynes
Journal:  J Chem Ecol       Date:  1992-03       Impact factor: 2.626

7.  Wind-tunnel study on attraction inhibitor in maleColeophora laricella Hbn. (Lepidoptera: Coleophoridae).

Authors:  P Witzgall; E Priesner
Journal:  J Chem Ecol       Date:  1991-07       Impact factor: 2.626

8.  Antennal resolution of pulsed pheromone plumes in three moth species.

Authors:  Josep Bau; Kristine A. Justus; Ring T. Cardé
Journal:  J Insect Physiol       Date:  2002-04       Impact factor: 2.354

9.  An improved aphid electroantennogram.

Authors:  J Hardie; K C. Park
Journal:  J Insect Physiol       Date:  1998-10       Impact factor: 2.354

10.  Quantification of electroantennogram responses of the primary rhinaria ofAcyrthosiphon pisum (Harris) to C4-C 8 primary alcohols and aldehydes.

Authors:  W A van Giessen; H W Fescemyer; P M Burrows; J K Peterson; O W Barnett
Journal:  J Chem Ecol       Date:  1994-04       Impact factor: 2.626

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  4 in total

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Journal:  J Chem Ecol       Date:  2016-07-16       Impact factor: 2.626

2.  Using insect electroantennogram sensors on autonomous robots for olfactory searches.

Authors:  Dominique Martinez; Lotfi Arhidi; Elodie Demondion; Jean-Baptiste Masson; Philippe Lucas
Journal:  J Vis Exp       Date:  2014-08-04       Impact factor: 1.355

3.  The Ratio between Field Attractive and Background Volatiles Encodes Host-Plant Recognition in a Specialist Moth.

Authors:  Geir K Knudsen; Hans R Norli; Marco Tasin
Journal:  Front Plant Sci       Date:  2017-12-22       Impact factor: 5.753

4.  Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot.

Authors:  Bluest Lan; Ryohei Kanzaki; Noriyasu Ando
Journal:  Sensors (Basel)       Date:  2019-10-21       Impact factor: 3.576

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