Vass Arpad A, Smith Rob R, Thompson Cyril V, Burnett Michael N, Wolf Dennis A, Synstelien Jennifer A, Dulgerian Nishan, Eckenrode Brian A
Oak Ridge National Laboratory, Research Scientist, Life Sciences Division, Oak Ridge, TN 37831-6101, USA.
J Forensic Sci. 2004 Jul;49(4):760-9.
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.
这项在田纳西大学人类学研究设施（ARF）进行的研究，描述了分解气味分析（DOA）数据库的建立，目的是开发一种便携式化学传感器，能够检测人类遗骸的秘密埋葬地点，从而模仿犬类嗅觉。这个“动态”数据库目前涵盖了埋葬后的头一年半，提供了对4名深度为1.5至3.5英尺（0.45至1.0米）的坟墓下方、上方和表面释放的化学物质的识别、化学趋势和半定量分析。三重吸附阱（TST）用于在现场采集空气样本，揭示了8大类化学物质，其中包含424种与埋葬分解相关的特定挥发性化合物。这项研究是识别独特的人类分解“气味特征”的第一步，预计会对尸体犬训练程序以及可用于定位浅埋人类遗骸的现场便携式分析仪器的开发产生影响。
