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Front Cover: Differentiating smokers and nonsmokers based on Raman spectroscopy of oral fluid and advanced statistics for forensic applications (J. Biophotonics 3/2020)
Author(s) -
AlHetlani Entesar,
Halámková Lenka,
Amin Mohamed O.,
Lednev Igor K.
Publication year - 2020
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.202070006
Subject(s) - biophotonics , raman spectroscopy , front cover , cover (algebra) , artificial neural network , spectroscopy , front (military) , forensic science , computer science , artificial intelligence , pattern recognition (psychology) , optics , medicine , physics , engineering , geology , veterinary medicine , astronomy , oceanography , mechanical engineering , laser
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 ).