Field Air Sampling with SPME for Ranking and Prioritization of Downwind Livestock Odors with MDGC-MS-Olfactometry
Author(s) -
Jacek A. Koziel,
Lingshuang Cai,
Donald W. Wright,
Steven J. Hoff,
Matteo Pardo,
Giorgio Sberveglieri
Publication year - 2009
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.3156540
Subject(s) - olfactometry , environmental science , ranking (information retrieval) , prioritization , field (mathematics) , sampling (signal processing) , computer science , artificial intelligence , engineering , gas chromatography , mathematics , chemistry , chromatography , management science , filter (signal processing) , pure mathematics , computer vision
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 appear...
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