Deep ultraviolet Raman spectroscopic analysis of antihistamine drugs in oral fluid for forensic purposes.

Owing to its inherent nondestructive nature, rapid analysis and simplicity, Raman spectroscopy has emerged as a promising tool for forensic analysis of different bodily fluids, particularly oral fluid (OF). Accurate drug identification and quantification are essential for understanding the circumstances surrounding a case, such as whether it involves an overdose fatality, substance abuse, or drug trafficking. This study aims to evaluate the potential of using deep ultraviolet Raman spectroscopy (DUVRS) to detect the antihistamine cetirizine (CTZ) in liquid and solid OF samples.

Surface-Enhanced Raman Spectroscopy at the Interface between Drug Discovery and Personalized Medicine.

Personalized medicine and drug discovery are different, yet overlapping, fields, and information from each field is exchanged to improve the other. The current methods used for devising personalized therapeutic plans and developing drug discovery applications are costly, time-consuming, and complex; thus, their applicability is limited in both fields. However, surface-enhanced Raman spectroscopy (SERS) offers potential solutions to current challenges.

Identification of semen traces at a crime scene through Raman spectroscopy and machine learning.

Biological fluid stains can be instrumental in solving crimes. Identification of semen can help reconstruct events in sexual assault cases and identify suspects via DNA profiling. Current methods for semen identification suffer from limitations, including destruction of the sample and potential false positives.

Phenotypic profiling based on body fluid traces discovered at the scene of crime: Raman spectroscopy of urine stains for race differentiation.

Modern criminal investigations heavily rely on trace bodily fluid evidence as a rich source of DNA. DNA profiling of such evidence can result in the identification of an individual if a matching DNA profile is available. Alternatively, phenotypic profiling based on the analysis of body fluid traces can significantly narrow down the pool of suspects in a criminal investigation.

[Vibrational spectroscopy use for forensic purposes combined with machine learning].

Vibrational spectroscopy combined with machine learning has a great potential for forensic research. Portable Raman spectrometers are already being used by law-enforcement agencies to identify drugs. Several new technologies based on vibrational spectroscopy, that can be used in forensic science to analyze documents, gunshot traces, cloths, soil, hair, nails and lacquer, are being developed nowadays.