Goal: To develop measurement characterization tools, methods, and algorithms to improve the accurate identification and analysis of small fragments or microscopic quantities of chemical or physical evidence.
Evaluation of sources of variability in the µXRF analysis of small glass fragments (in collaboration with Dr. Tatiana Trejos at WVU)
Validation of Novel Statistical Approaches for the Interpretation of Trace Evidence
Glass Analysis using LA-ICP-MS
Develop a more comprehensive hair peptide spectral library for human identification
Develop a portable headspace sampling unit and testing/optimization of adsorbent materials for forensic vapor sampling
Develop rapid screening methods and sampling procedures for Ignitable Liquid Residues (ILR) analysis using QuickProbe
Trace Elemental Characterization of Polymeric Source Material used in 3D Printing by ICP-MS, LA-ICP-MS, LIBS, and µXRF