Field Air Sampling with SPME for Ranking and Prioritization of Downwind Livestock Odors with MDGC‐MS‐Olfactometry

dc.contributor.author Hoff, Steven
dc.contributor.author Cai, Lingshuang
dc.contributor.author Wright, Donald
dc.contributor.author Koziel, Jacek
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-13T06:11:27.000
dc.date.accessioned 2020-06-29T22:32:38Z
dc.date.available 2020-06-29T22:32:38Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2009
dc.date.embargo 2013-02-12
dc.date.issued 2009-04-01
dc.description.abstract <p>Air sampling and characterization of odorous livestock gases is one of the most challenging analytical tasks. This is due to low concentrations, physicochemical properties, and problems with sample recoveries for typical odorants. Livestock operations emit a very complex mixture of volatile organic compounds and other gases. Many of these gases are odorous. Relatively little is known about the link between specific VOCs∕gases and specifically, about the impact of specific odorants downwind from sources. In this research, solid phase microextraction (SPME) was used for field air sampling of odors downwind from swine and beef cattle operations. Sampling time ranged from 20 min to 1 hr. Samples were analyzed using a commercial GC‐MS‐Olfactometry system. Odor profiling efforts were directed at odorant prioritization with respect to distance from the source. The results indicated the odor downwind was increasingly defined by a smaller number of high priority odorants. These ‘character defining’ odorants appeared to be dominated by compounds of relatively low volatility, high molecular weight and high polarity. In particular, p‐cresol alone appeared to carry much of the overall odor impact for swine and beef cattle operations. Of particular interest was the character‐defining odor impact of p‐cresol as far as 16 km downwind of the nearest beef cattle feedlot. The findings are very relevant to scientists and engineers working on improved air sampling and analysis protocols and on improved technologies for odor abatement. More research evaluating the use of p‐cresol and a few other key odorants as a surrogate for the overall odor dispersion modeling is warranted.</p>
dc.description.comments <p>Copyright 2009 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics.</p> <p>This article appeared in <em>AIP Conference Proceedings </em>1137 (2009): 333–336 and may be found at <a href="http://link.aip.org/link/doi/10.1063/1.3156540">http://dx.doi.org/10.1063/1.3156540</a>.</p>
dc.identifier archive/lib.dr.iastate.edu/abe_eng_conf/231/
dc.identifier.articleid 1229
dc.identifier.contextkey 3690250
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_conf/231
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/241
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_conf/231/Koziel_2009_FieldAirSampling.pdf|||Fri Jan 14 22:47:24 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords air pollution
dc.subject.keywords chemical analysis
dc.subject.keywords chemical sensors
dc.title Field Air Sampling with SPME for Ranking and Prioritization of Downwind Livestock Odors with MDGC‐MS‐Olfactometry
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication 98b46d48-66a2-4458-9b42-8c4aa050664d
relation.isAuthorOfPublication 76fc5589-51f8-4f3c-885c-e25d8037d641
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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