Akademik Veri Yönetim Sistemi
Gumushane Universitesi Fen Bilimleri Dergisi, cilt.15, sa.1, ss.21-35, 2025 (Scopus, TRDizin)
The characterization of glass material evidence collected in different forensic cases such as burglary, hit-and-run, etc. by considering their physical, chemical, mechanical and optical properties has an important place in the solution of forensic cases. In this study, statistical differentiation of different types of glass materials based on elemental analysis results was aimed. Aluminum, Iron, Titanium, Calcium, Magnesium, Sodium, Potassium, Potassium, Sulfur, Barium and Chromium elements were analyzed by X-ray fluorescence spectrometry (XRF). In 27 of these samples, the elements Aluminum, Iron, Titanium, Calcium, Magnesium, Sodium, Potassium, Sodium, Potassium, Sulfur, Barium, Arsenic, Cobalt, Nickel, Rubidium, Strontium and Lead were analyzed by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). Principal Component Analysis (PCA) method was used to classify the glass samples. As a result of the experimental analysis, it was seen that a reliable identification and differentiation can be made in glass samples by evaluating multiple elements together rather than differentiation based on a single element. Additionally, as a result of the statistical method evaluation, it was seen that class distinction between glass samples could be made with a higher score when 3-dimensional principal component analysis was applied.