Literature DB >> 28391862

Chemical and canine analysis as complimentary techniques for the identification of active odors of the invasive fungus, Raffaelea lauricola.

Alison G Simon1, DeEtta K Mills1, Kenneth G Furton2.   

Abstract

Raffaelea lauricola, a fungus causing a vascular wilt (laurel wilt) in Lauraceae trees, was introduced into the United States in the early 2000s. It has devastated forests in the Southeast and has now moved into the commercial avocado groves in southern Florida. Trained detection canines are currently one of the few successful methods for early detection of pre-symptomatic diseased trees. In order to achieve the universal and frequent training required to have successful detection canines, it is desirable to create accessible, safe, and long-lasting training aids. However, identification of odorants and compounds is limited by several factors, including both the availability of chemicals and the need to present chemicals individually and in combination to detection canines. A method for the separation and identification of volatile organic compounds (VOCs) from environmental substances for the creation of such a canine training aid is presented here. Headspace solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) was used to identify the odors present in avocado trees infected with the R. lauricola phytopathogen. Twenty-eight compounds were detected using this method, with nine present in greater than 80% of samples. The majority of these compounds were not commercially available as standard reference materials, and a canine trial was designed to identify the active odors without the need of pure chemical compounds. To facilitate the creation of a canine training aid, the VOCs above R. lauricola were separated by venting a 0.53mm ID solgel-wax gas chromatography column to the atmosphere. Ten minute fractions of the odor profile were collected on cotton gauze in glass vials and presented to the detection canines in a series of field trials. The canines alerted to the VOCs from the vials that correspond to a portion of the chromatogram containing the most volatile species from R. lauricola. This innovative fractionation and collection method can be used to develop reliable and cost effective canine training aids.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Avocado; COMPS; Canine detection; Environmental detection; Laurel wilt; Lula variety; Substance detection; Training aids; Volatile organic compounds

Mesh:

Substances:

Year:  2017        PMID: 28391862     DOI: 10.1016/j.talanta.2017.03.015

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  4 in total

1.  Modular and reconfigurable gas chromatography / differential mobility spectrometry (GC/DMS) package for detection of volatile organic compounds (VOCs).

Authors:  Ilya M Anishchenko; Mitchell M McCartney; Alexander G Fung; Daniel J Peirano; Michael J Schirle; Nicholas J Kenyon; Cristina E Davis
Journal:  Int J Ion Mobil Spectrom       Date:  2018-08-31

Review 2.  A Review of the Types of Training Aids Used for Canine Detection Training.

Authors:  Alison Simon; Lucia Lazarowski; Melissa Singletary; Jason Barrow; Kelly Van Arsdale; Thomas Angle; Paul Waggoner; Kathleen Giles
Journal:  Front Vet Sci       Date:  2020-06-05

3.  Electroantennographic Responses of Wild and Laboratory-Reared Females of Xyleborus affinis Eichhoff and Xyleborus ferrugineus (Fabricius) (Coleoptera: Curculionidae: Scolytinae) to Ethanol and Bark Volatiles of Three Host-Plant Species.

Authors:  Patricia Romero; Luis A Ibarra-Juárez; Daniel Carrillo; José A Guerrero-Analco; Paul E Kendra; Ana L Kiel-Martínez; Larissa Guillén
Journal:  Insects       Date:  2022-07-21       Impact factor: 3.139

Review 4.  Olfactory Generalization in Detector Dogs.

Authors:  Ariella Y Moser; Lewis Bizo; Wendy Y Brown
Journal:  Animals (Basel)       Date:  2019-09-19       Impact factor: 2.752

  4 in total

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