This study explores a metabolite monitoring concept for the biometric identification of individuals from the skin surface.
This study aims at proof of concept that constant monitoring of the concentrations of metabolites in three individuals’ sweat over time can differentiate one from another at any given time, providing investigators and analysts with increased ability and means to individualize this bountiful biological sample. A technique was developed to collect and extract authentic sweat samples from three female volunteers for the analysis of lactate, urea, and L-alanine levels. These samples were collected 21 times over a 40-day period and quantified using a series of bioaffinity-based enzymatic assays with UV-vis spectrophotometric detection. Sweat samples were simultaneously dried, derivatized, and analyzed by a GC-MS technique for comparison. Both UV-vis and GC-MS analysis methods provided a statistically significant MANOVA result, demonstrating that the sum of the three metabolites could differentiate each individual at any given day of the time interval. Expanding upon previous studies, this experiment aims to establish a method of metabolite monitoring as opposed to single-point analyses for application to biometric identification from the skin surface. (Published Abstract Provided)
Downloads
Similar Publications
- Identification of Cadaveric Liver Tissues Using Thanatotranscriptome Biomarkers
- Development of a Non-destructive Technique for the Restoration of Defaced Serial Numbers
- Utilizing Derivatizing Agents for the Differentiation of Cannabinoid isomers in Complex Food, Beverage and Personal-care Product Matrices by Ambient Ionization Mass Spectrometry