Abstract

The forensic analysis of body fluids has made great strides in recent years. Body fluids can easily be identified, and DNA analysis can be used to link a stain found at a crime scene to a specific person. When no reference DNA profile is available and the recovered DNA does not yield a match in a database, it would be incredibly useful if the evidence could still provide investigators with useful information. Biocatalytic and immunoassays can be used to determine a donor's sex, race, and other phenotypic characteristics. However, these tests depend on chemical reactions and are destructive to the sample. Here, we used Raman spectroscopy and multivariate data analysis to develop a nondestructive technique that could be used at a crime scene to determine the sex of a saliva donor. Our internally cross-validated classification model correctly identified 44 (92%) of the 48 donors used for model training. Subsequent external validation correctly identified 11 (92%) of the 12 donors saved for testing. This proof-of-concept study demonstrates the value of Raman spectroscopy as a forensic tool, and indicates that it can be used to elucidate phenotypic information about a body fluid donor. Future studies will expand to other body fluids and additional donor characteristics, such as race and age.

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