CANCELED! Hair Reveals What People Conceal: Soft Biometric Traits from the Chemical Analysis of Human HairSpeaker: Glen Jackson, Ming Hsieh Distinguished Professor of Forensic and Investigative Science, Chemistry Adjunct Professor, West Virginia University Location: 402 N Blackford St. Indianapolis, IN 46202 LD 010
Our research demonstrates the ability to objectively classify the hair of different donors into soft biometric grouping factors such as sex, age group, body mass index (BMI), and physical activity. Classification is accomplished either through the quantitation of amino acids in human hair matrix, or through the precise measurement of naturally occurring stable isotopes of 13C/12C of each amino acid in the hair matrix. Additional applications of amino-acid-specific analyses include the ability to predict type II diabetes from human hair, and to link blowflies to specific species of carrion (decaying flesh).
Before delving into the details of this specific research thrust, the talk will first cover a brief summary of other mass spectrometry research endeavors in our group, including: 1) the development of innovative MS-based fragmentation methods for the determination of composition, structure, and conformation of biomolecules; and 2) the development of miniature, portable mass spectrometers for first responders and forensic field use.