Detection of Volatile Compounds Emitted from Nasal Secretions and Serum: Towards Non-Invasive Identification of Diseased Cattle Biomarkers

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dc.contributor.author Maurer, Devin
dc.contributor.author Maurer, Devin
dc.contributor.author Koziel, Jacek
dc.contributor.author Engelken, Terry
dc.contributor.author Koziel, Jacek
dc.contributor.author Cooper, Vickie
dc.contributor.author Funk, Jenna
dc.contributor.department Civil, Construction and Environmental Engineering
dc.contributor.department Veterinary Diagnostic and Production Animal Medicine
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-10-27T02:59:12.000
dc.date.accessioned 2020-06-29T22:44:00Z
dc.date.available 2020-06-29T22:44:00Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 2018
dc.date.issued 2018-03-12
dc.description.abstract <p>Non-invasive diagnostics and finding biomarkers of disease in humans have been a very active research area. Some of the analytical technologies used for finding biomarkers of human disease are finding their use in livestock. Non-invasive sample collection from diseased cattle using breath and headspace of fecal samples have been reported. In this work, we explore the use of volatile organic compounds (VOCs) emitted from bovine nasal secretions and serum for finding biomarkers for bovine respiratory disease (BRD). One hundred nasal swabs and 100 serum samples (n = 50 for both ‘sick’ and ‘healthy’) were collected at the time of treatment for suspected BRD. Solid-phase microextraction (SPME) was used to collect headspace samples that were analyzed using gas chromatography-mass spectrometry (GC-MS). It was possible to separate sick cattle using non-invasive analyses of nasal swabs and also serum samples by analyzing and comparing volatiles emitted from each group of samples. Four volatile compounds were found to be statistically significantly different between ‘sick’ and ‘normal’ cattle nasal swabs samples. Five volatile compounds were found to be significantly different between ‘sick’ and ‘normal’ cattle serum samples, with phenol being the common marker. Future studies are warranted to improve the extraction efficiency targeting VOCs preliminarily identified in this study. These findings bring us closer to the long-term goal of real-time, animal-side detection and separation of sick cattle.</p>
dc.description.comments <p>This article is published as Maurer, Devin L., Jacek A. Koziel, Terry J. Engelken, Vickie L. Cooper, and Jenna L. Funk. "Detection of Volatile Compounds Emitted from Nasal Secretions and Serum: Towards Non-Invasive Identification of Diseased Cattle Biomarkers." <em>Separations</em> 5, no. 1 (2018): 18. DOI: <a href="https://dx.doi.org/10.3390/separations5010018" target="_blank">10.3390/separations5010018</a>. Posted with permission.</p>
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/958/
dc.identifier.articleid 2248
dc.identifier.contextkey 13153639
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/958
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1777
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/958/2018_Koziel_DetectionVolatile.pdf|||Sat Jan 15 02:34:49 UTC 2022
dc.source.uri 10.3390/separations5010018
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Environmental Health and Protection
dc.subject.disciplines Veterinary Infectious Diseases
dc.subject.keywords biomarkers
dc.subject.keywords volatile organic compounds
dc.subject.keywords phenol
dc.subject.keywords cattle
dc.subject.keywords bovine respiratory disease
dc.subject.keywords non-invasive sample collection
dc.subject.keywords solid-phase microextraction
dc.subject.keywords gas chromatography-mass spectrometry
dc.title Detection of Volatile Compounds Emitted from Nasal Secretions and Serum: Towards Non-Invasive Identification of Diseased Cattle Biomarkers
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isAuthorOfPublication 76fc5589-51f8-4f3c-885c-e25d8037d641
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