Front Cover: Differentiating smokers and nonsmokers based on Raman spectroscopy of oral fluid and advanced statistics for forensic applications (J. Biophotonics 3/2020)

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 genetic algorithm (GA) was used to determine eight 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. (Image ©: Dr. Aliaksandra Sikirzhytskaya). Further details can be found in the article by Entesar Al‐Hetlani, Lenka Halamkova, Mohamed O. Amin, and Igor K. Lednev ( e201960123 ).