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Differentiating Smokers and Nonsmokers Based on Raman Spectroscopy of Oral Fluid and Advanced Statistics for Forensic Applications.

07:00 EST 8th November 2019 | BioPortfolio

Summary of "Differentiating Smokers and Nonsmokers Based on Raman Spectroscopy of Oral Fluid and Advanced Statistics for Forensic Applications."

Raman spectroscopy has proven to be a valuable tool for analyzing various types of forensic evidence such as traces of body fluids. In this work, Raman spectroscopy was employed as a nondestructive technique for the analysis of dry traces of oral fluid to differentiate between smoker and nonsmoker donors with the aid of advanced statistical tools. A total of 32 oral fluid samples were collected from donors of differing gender, age and race and were subjected to Raman spectroscopic analysis. A genetic algorithm (GA) was used to determine 8 spectral regions that contribute the most to the differentiation of smokers and nonsmokers. Thereafter, a classification model was developed based on the artificial neural network (ANN) that showed 100% accuracy after external validation. The developed approach demonstrates great potential for the differentiation of smokers and nonsmokers based on the analysis of dry traces of oral fluid. This article is protected by copyright. All rights reserved.

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This article was published in the following journal.

Name: Journal of biophotonics
ISSN: 1864-0648
Pages: e201960123

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