(Late) Invited Presentation
Forensics
Mohamed O. Amin
Postdoctoral Researcher
University at Albany, SUNY
Albany, New York, United States
Meshari Al-Qalfas
MSc Student
Faculty of Science, Forensic Science Program, Kuwait University, Safat, Kuwait City, Kuwait
Kuwait, Al Asimah, Kuwait
Salma Al-Antari
Chemistry Department, Faculty of Science, Kuwait University, P.O. Box 5969, 13060 Safat, Kuwait
Kuwait, Al Asimah, Kuwait
Zainab H. Hussain
Faculty of Science, Forensic Science Program, Kuwait University, Safat, Kuwait City, Kuwait
Kuwait, Al Farwaniyah, Kuwait
Bhavik Vyas, PhD
Research Assistant
University at Albany, SUNY
Albany, New York, United States
Igor K. Lednev, PhD
Distinguished Professor
University at Albany, SUNY
Albany, New York, United States
Entesar Al-Hetlani, PhD
Associate Professor
Kuwait University
Asmaa, Al Asimah, Kuwait
Mohamed O. Amin
Postdoctoral Researcher
University at Albany, SUNY
Albany, New York, United States
Bloodstains are critical evidence at crime scenes, often linked to violent crimes. Accurately estimating the time since deposition (TSD) of bloodstains can provide essential insights for reconstructing crime timelines. This presentation demonstrates the use of attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy combined with chemometrics to estimate the time since deposition (TSD) of bloodstains on common fabrics under (i) ambient conditions and (ii) simulated Gulf climate (≥47 °C, moderate humidity). Although fabric substrates contributed to the spectral background, bloodstain-related bands such as amide I (~1636 cm⁻¹) and amide II (~1535 cm⁻¹) were observed. Partial least squares discriminant analysis (PLS-DA) classified “recent” versus “older” stains with external validation accuracies of 92% (polyester) and 94% (cotton) for ≤72 h versus >72 h at ambient conditions, and 93% (cotton) and 97% (modal) for ≤96 h versus >96 h under simulated hot environmental conditions. For continuous aging, partial least squares regression (PLSR) combined with a genetic algorithm (GA) achieved R²pred ≈ 0.86–0.85 (polyester/cotton, ambient) and 84–89% predictive performance (cotton/modal, heat). These results support ATR-FTIR as a nondestructive, rapid tool for estimating bloodstain age on common fabrics, including in high-temperature environments. Future research may also focus on examining degradation patterns across different surfaces and settings. Once thoroughly developed and validated through broader studies, this approach could offer a practical, non-destructive tool for estimating bloodstain age in forensic applications.