title: Advanced statistical analysis of Raman spectroscopic data for the identification of body fluid traces: semen and blood mixtures.
abstract: Conventional confirmatory biochemical tests used in the forensic analysis of body fluid traces found at a crime scene are destructive and not universal. Recently, we reported on the application of near-infrared (NIR) Raman microspectroscopy for non-destructive confirmatory identification of pure blood, saliva, semen, vaginal fluid and sweat. Here we expand the method to include dry mixtures of semen and blood. A classification algorithm was developed for differentiating pure body fluids and their mixtures. The classification methodology is based on an effective combination of Support Vector Machine (SVM) regression (data selection) and SVM Discriminant Analysis of preprocessed experimental Raman spectra collected using an automatic mapping of the sample. This extensive cross-validation of the obtained results demonstrated that the detection limit of the minor contributor is as low as a few percent. The developed methodology can be further expanded to any binary mixture of complex solutions, including but not limited to mixtures of other body fluids.
authors: Department of Chemistry, University at Albany, SUNY, 1400 Washington Ave., Albany, NY 12222, United States.
authors: Vitali
authors: V
authors: Sikirzhytski
authors: Aliaksandra
authors: A
authors: Sikirzhytskaya
authors: Igor K
authors: IK
authors: Lednev
mesh_terms: D001769:Blood; D016002:Discriminant Analysis; D005188:False Negative Reactions; D005189:False Positive Reactions; D005260:Female; D049429:Forensic Pathology; D006801:Humans; D008297:Male; D012661:Semen; D019265:Spectroscopy, Near-Infrared; D013059:Spectrum Analysis, Raman; D060388:Support Vector Machine