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

AlHetlani Entesar | Zendy; Halámková Lenka | Zendy; Amin Mohamed O. | Zendy; Lednev Igor K. | Zendy

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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 ).

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