Exploring canine olfactory generalization using odor profile fractions from native crude oils.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 08 04 2024
accepted: 25 09 2024
medline: 18 10 2024
pubmed: 18 10 2024
entrez: 17 10 2024
Statut: epublish

Résumé

Canines are used by both government agencies and industries for their keen olfactory capability as well as selectivity, reliability, versatility, and speed. Within the last decade, canines have been used for the detection of on-shore crude oil. They were previously shown to find these deposits with high accuracy, providing increased confidence with little risk to oil spill response survey teams. In order to efficiently train canines, it is important to understand the odorants or groups of odorants that such canines use when locating subsurface crude oil deposits, as well as track how the odorant profile changes as the crude oil undergoes degradation. In this study, headspace solid phase microextraction (HS-SPME) was used in combination with gas chromatography-mass spectrometry (GC-MS) to extract and separate odorants from the headspace of various crude oils. After, eluent fractions of the crude oil odor profile were separated and collected onto sorbent materials, which were then used as canine testing probes in a series of trials. These probes, along with negative and positive controls were presented to three previously-trained and operational crude oil detection canines. Three eluent fractions of both fresh and weathered samples were presented, resulting in a 100% response rate from the canines on all three fractions from both the fresh and weathered samples. These results indicated that canines are capable of detecting crude oil from any fraction of the odor profile demonstrating the potential of the canines to generalize across a variety of crude oils and stages of weathering.

Identifiants

pubmed: 39418316
doi: 10.1371/journal.pone.0311818
pii: PONE-D-24-14146
doi:

Substances chimiques

Petroleum 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0311818

Informations de copyright

Copyright: © 2024 Karpinsky et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Michelle Karpinsky (M)

Department of Chemistry and Biochemistry and the Global Forensics and Justice Center, Florida International University, Miami, Florida, United States of America.

Daniel Lopez (D)

Department of Chemistry and Biochemistry and the Global Forensics and Justice Center, Florida International University, Miami, Florida, United States of America.

Erik Campues (E)

Department of Chemistry and Biochemistry and the Global Forensics and Justice Center, Florida International University, Miami, Florida, United States of America.

Paul Bunker (P)

Chiron K9, San Antonio, Texas, United States of America.

Stephanie R Vaughan (SR)

Department of Chemistry and Biochemistry and the Global Forensics and Justice Center, Florida International University, Miami, Florida, United States of America.

Howard K Holness (HK)

Department of Chemistry and Biochemistry and the Global Forensics and Justice Center, Florida International University, Miami, Florida, United States of America.

Kenneth G Furton (KG)

Department of Chemistry and Biochemistry and the Global Forensics and Justice Center, Florida International University, Miami, Florida, United States of America.

Lauryn E DeGreeff (LE)

Department of Chemistry and Biochemistry and the Global Forensics and Justice Center, Florida International University, Miami, Florida, United States of America.

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Classifications MeSH