Dr. Lauryn DeGreeff: You stink! Human scent-living and dead-for K9 teams - recording of the webinar

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Mrs Dr. Lauryn DeGreeff

Lauryn E. DeGreeff earned her PhD in forensic chemistry from Florida International University in Miami, FL, where she is presently an associate professor in the Chemistry Department and the International Forensic Science Research Institute and where she carries out research in the area of volatiles analysis as it relates to vapor detection by canine and instruments. Prior to returning to FIU, Dr. DeGreeff conducted her research as part of the Chemistry Division at the US Naval Research Laboratory in Washington DC. She takes a chemistry-based approach to studying olfaction for the purpose of informing field vapor sampling practices. Her research focuses on trace vapor sampling, characterization, and generation in support of canine and other field detection approaches. Dr. DeGreeff regularly lectures on the dynamics of odor for the operational community and at national and international scientific conferences. She has also authored a many peer-reviewed manuscripts, holds four pending and completed patents, and is the editor of the book entitled Canines: The Original Biosensor, to be released in early 2022.


About the webinar:
Two of the oldest disciplines in canine detection were developed for locating humans, both living and deceased. Even though canines have an innate ability to track such odors to their source, we as humans do not have a complete understanding of what makes up the scents of live humans and the odors of the deceased that canines are capable of detecting.
This lecture will cover the science behind canine detection of living and deceased humans including the processes that produce scent and odor, as well as the current scientific research about the known odorants that make them up. We will then discuss how this information can help us to choose, prepare, and handle training aids for human scent discrimination and apply this knowledge to live-find search and rescue and cadaver detection applications.