LEC05 - Paint, Tape, and Glass Evidence (1) PDF
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Uploaded by TalentedJasper2961
Trent University
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Summary
This document is a lecture on paint, tape, and glass evidence in forensic science. It describes methods, instruments, and studies used in the analysis of these materials. The lecture notes cover topics like paint evidence, tape evidence, and glass evidence.
Full Transcript
Paint, Tape, and Glass Evidence LEC05 – Friday September 20th FRSC2030H Foundations in Forensic Science TA Contact Information LAB01 Continues Course Update LAB02 Next week Outdoor Lab Notetaking Paint Eviden...
Paint, Tape, and Glass Evidence LEC05 – Friday September 20th FRSC2030H Foundations in Forensic Science TA Contact Information LAB01 Continues Course Update LAB02 Next week Outdoor Lab Notetaking Paint Evidence Paint Evidence Multi-layered Colour and outer coating Sometimes more Primary Instrumentation Fourier-transform infrared spectroscopy (FTIR) Infrared spectrum from emission / absorption Specific bonds will absorb specific wavelengths ATR-FTIR Easier and quicker Raman Laser used onto sample Vibrations measured Paint Evidence Suzuki et al. – Perylenes in FTIR Strategies for identification Perylene Red Y 99% Likelihood ratios provided Tape Collection Gwinnet et al. – Tape Lifting for Trace Microplastics and fibres Cellular material Touch-DNA Chadwick et al. – Chemical & Fingerprints Duct tape Several developments Chemicals have minimal impact IR can lead to problems Glass Evidence Glass Evidence Nadarajan et al. – Shotgun against Glass Soda-lime and tempered glass Different thickness and distances Butt et al. – Bullet hole morphology Distance, angle, type of projectile, speed Features of morphology Stress in glass - SIF Grant et al. – Tint ID ATR-FTIR used to ID Glass Evidence Voros et al. – Simulating Fires 450-650 degrees then cooling RI affected in all cases Nentwig et al. – Bottle Blows to the Head Beer and coke bottle Cause severe blunt and sharp trauma Brooks et al. – Fractography for Glass Likelihood ratios & error rates Thompson et al. – 3D Spectral Analysis Computational framework Glass Evidence Chemical Analysis Leaded glass detection Nuclear melt glass LIBS & Raman (99%) Machine learning Several emerging or suggested new methods R package Corzo et al. – Interlaboratory study 17 labs with 3 methods refractive index 82%, micro-XRF – 96%, and LIBS 87% Wide variation in reported conclusions
