Decompositional Odor Analysis Database

    Volume 49, Issue 4 (July 2004)

    ISSN: 0022-1198

    CODEN: JFSOAD

    Published Online: 5 May 2004

    Page Count: 10


    Vass, AA
    Research Scientist, Oak Ridge National Laboratory, Oak Ridge, TN

    Eckenrode, BA
    Research Chemist, Federal Bureau of Investigation, Quantico, VA

    Thompson, CV
    Research Scientist, Oak Ridge National Laboratory, Oak Ridge, TN

    Wolf, DA
    Research Scientist, Oak Ridge National Laboratory, Oak Ridge, TN

    Synstelien, JA
    The University of Tennessee, Knoxville, TN

    Burnett, MN
    Research Scientist, Oak Ridge National Laboratory, Oak Ridge, TN

    Dulgerian, N
    Sr. Mechanical Engineer, Federal Bureau of Investigation, Quantico, VA

    Smith, RR
    Research Scientist, Oak Ridge National Laboratory, Oak Ridge, TN

    Abstract

    This study, conducted at the University of Tennessee's Anthropological Research Facility (ARF), describes the establishment of the Decompositional Odor Analysis (DOA) Database for the purpose of developing a man-portable, chemical sensor capable of detecting clandestine burial sites of human remains, thereby mimicking canine olfaction. This “living” database currently spans the first year and a half of burial, providing identification, chemical trends and semi-quantitation of chemicals liberated below, above and at the surface of graves 1.5 to 3.5 ft deep (0.45 to 1.0 m) for four individuals. Triple sorbent traps (TSTs) were used to collect air samples in the field and revealed eight major classes of chemicals containing 424 specific volatile compounds associated with burial decomposition. This research is the first step toward identification of an “odor signature” unique to human decomposition with projected ramifications on cadaver dog training procedures and in the development of field portable analytical instruments which can be used to locate human remains buried in shallow graves.


    Paper ID: JFS2003434

    DOI: 10.1520/JFS2003434

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    Author
    Title Decompositional Odor Analysis Database
    Symposium , 0000-00-00
    Committee E30