Literature DB >> 18375006

Using insect sniffing devices for detection.

Glen C Rains1, Jeffery K Tomberlin, Don Kulasiri.   

Abstract

Emerging information about the ability of insects to detect and associatively learn has revealed that they could be used within chemical detection systems. Such systems have been developed around free-moving insects, such as honey bees. Alternatively, behavioral changes of contained insects can be interpreted by sampling air pumped over their olfactory organs. These organisms are highly sensitive, flexible, portable and cheap to reproduce, and it is easy to condition them to detect target odorants. However, insect-sensing systems are not widely studied or accepted as proven biological sensors. Further studies are needed to examine additional insect species and to develop better methods of using their olfactory system for detecting odorants of interest.

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Year:  2008        PMID: 18375006     DOI: 10.1016/j.tibtech.2008.02.007

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  10 in total

1.  Behavioural and genetic evidence for C. elegans' ability to detect volatile chemicals associated with explosives.

Authors:  Chunyan Liao; Andrew Gock; Michelle Michie; Bethany Morton; Alisha Anderson; Stephen Trowell
Journal:  PLoS One       Date:  2010-09-07       Impact factor: 3.240

Review 2.  The proboscis extension reflex to evaluate learning and memory in honeybees (Apis mellifera): some caveats.

Authors:  Elisabeth H Frost; Dave Shutler; Neil Kirk Hillier
Journal:  Naturwissenschaften       Date:  2012-08-07

Review 3.  Diverse applications of electronic-nose technologies in agriculture and forestry.

Authors:  Alphus D Wilson
Journal:  Sensors (Basel)       Date:  2013-02-08       Impact factor: 3.576

4.  Detection of Illicit Drugs by Trained Honeybees (Apis mellifera).

Authors:  Matthias Schott; Birgit Klein; Andreas Vilcinskas
Journal:  PLoS One       Date:  2015-06-17       Impact factor: 3.240

5.  An odor detection system based on automatically trained mice by relative go no-go olfactory operant conditioning.

Authors:  Jing He; JingKuan Wei; Joshua D Rizak; YanMei Chen; JianHong Wang; XinTian Hu; YuanYe Ma
Journal:  Sci Rep       Date:  2015-05-06       Impact factor: 4.379

6.  Use of a parasitic wasp as a biosensor.

Authors:  Dawn Olson; Glen Rains
Journal:  Biosensors (Basel)       Date:  2014-05-08

7.  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

8.  Species identification by experts and non-experts: comparing images from field guides.

Authors:  G E Austen; M Bindemann; R A Griffiths; D L Roberts
Journal:  Sci Rep       Date:  2016-09-20       Impact factor: 4.379

9.  The nematode Caenorhabditis elegans displays a chemotaxis behavior to tuberculosis-specific odorants.

Authors:  Mário F Neto; Quan H Nguyen; Joseph Marsili; Sally M McFall; Cindy Voisine
Journal:  J Clin Tuberc Other Mycobact Dis       Date:  2016-06-09

10.  Multiphasic on/off pheromone signalling in moths as neural correlates of a search strategy.

Authors:  Dominique Martinez; Antoine Chaffiol; Nicole Voges; Yuqiao Gu; Sylvia Anton; Jean-Pierre Rospars; Philippe Lucas
Journal:  PLoS One       Date:  2013-04-17       Impact factor: 3.240

  10 in total

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