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Full-Text Articles in Physical Sciences and Mathematics
Hierarchical Modelling Of Raman Spectroscopic Data Demonstrates The Potential For Manufacturer And Caliber Differentiation Of Smokeless Powders, Nathan Russell Bartlett
Hierarchical Modelling Of Raman Spectroscopic Data Demonstrates The Potential For Manufacturer And Caliber Differentiation Of Smokeless Powders, Nathan Russell Bartlett
Legacy Theses & Dissertations (2009 - 2024)
With the rise of gun-based crime and the advent of lead-free ammunition reducing the effectiveness of previously used methods, the analysis of smokeless powders to better understand organic gunshot residues is now more important than ever. One method that has shown potential is Raman spectroscopy, a relatively quick, nondestructive, and non-contact analysis method. To investigate whether Raman spectroscopy could be used to characterize individual powders, samples of smokeless powders from three manufacturers, Remington, Federal, and Winchester, each with two 9mm caliber and two .38 caliber ammo types, were dissolved, and their Raman spectra were collected. A hierarchical modelling system was …
Discrimination Between Human And Non-Human Blood Using Raman Spectroscopy And A Self-Reference Algorithm For Forensic Purposes : Method Expansion And Validation, Harrison Dickler
Discrimination Between Human And Non-Human Blood Using Raman Spectroscopy And A Self-Reference Algorithm For Forensic Purposes : Method Expansion And Validation, Harrison Dickler
Legacy Theses & Dissertations (2009 - 2024)
Determining whether the origin of a bloodstain is human or non-human is an important capability of a forensic investigation. In their pioneering work, Bian et al. (Journal of biomedical optics, 2017) introduced a self-reference peak algorithm for the analysis of bloodstain Raman spectra and demonstrated a great potential of this approach for differentiating human and nonhuman blood. However, this work only used three non-human species in the creation of their model. This study investigates the capability of a self-referencing peak algorithm to discriminate between human and 18 non-human species based on the Raman spectra of blood samples. The intensity ratios …