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Possibility of Human Gender Recognition Using Raman Spectra of Teeth

Gender determination of the human remains can be very challenging, especially in the case of incomplete ones. Herein, we report a proof-of-concept experiment where the possibility of gender recognition using Raman spectroscopy of teeth is investigated. Raman spectra were recorded from male and femal...

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Autores principales: Gamulin, Ozren, Škrabić, Marko, Serec, Kristina, Par, Matej, Baković, Marija, Krajačić, Maria, Babić, Sanja Dolanski, Šegedin, Nikola, Osmani, Aziz, Vodanović, Marin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271900/
https://www.ncbi.nlm.nih.gov/pubmed/34210090
http://dx.doi.org/10.3390/molecules26133983
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author Gamulin, Ozren
Škrabić, Marko
Serec, Kristina
Par, Matej
Baković, Marija
Krajačić, Maria
Babić, Sanja Dolanski
Šegedin, Nikola
Osmani, Aziz
Vodanović, Marin
author_facet Gamulin, Ozren
Škrabić, Marko
Serec, Kristina
Par, Matej
Baković, Marija
Krajačić, Maria
Babić, Sanja Dolanski
Šegedin, Nikola
Osmani, Aziz
Vodanović, Marin
author_sort Gamulin, Ozren
collection PubMed
description Gender determination of the human remains can be very challenging, especially in the case of incomplete ones. Herein, we report a proof-of-concept experiment where the possibility of gender recognition using Raman spectroscopy of teeth is investigated. Raman spectra were recorded from male and female molars and premolars on two distinct sites, tooth apex and anatomical neck. Recorded spectra were sorted into suitable datasets and initially analyzed with principal component analysis, which showed a distinction between spectra of male and female teeth. Then, reduced datasets with scores of the first 20 principal components were formed and two classification algorithms, support vector machine and artificial neural networks, were applied to form classification models for gender recognition. The obtained results showed that gender recognition with Raman spectra of teeth is possible but strongly depends both on the tooth type and spectrum recording site. The difference in classification accuracy between different tooth types and recording sites are discussed in terms of the molecular structure difference caused by the influence of masticatory loading or gender-dependent life events.
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spelling pubmed-82719002021-07-11 Possibility of Human Gender Recognition Using Raman Spectra of Teeth Gamulin, Ozren Škrabić, Marko Serec, Kristina Par, Matej Baković, Marija Krajačić, Maria Babić, Sanja Dolanski Šegedin, Nikola Osmani, Aziz Vodanović, Marin Molecules Article Gender determination of the human remains can be very challenging, especially in the case of incomplete ones. Herein, we report a proof-of-concept experiment where the possibility of gender recognition using Raman spectroscopy of teeth is investigated. Raman spectra were recorded from male and female molars and premolars on two distinct sites, tooth apex and anatomical neck. Recorded spectra were sorted into suitable datasets and initially analyzed with principal component analysis, which showed a distinction between spectra of male and female teeth. Then, reduced datasets with scores of the first 20 principal components were formed and two classification algorithms, support vector machine and artificial neural networks, were applied to form classification models for gender recognition. The obtained results showed that gender recognition with Raman spectra of teeth is possible but strongly depends both on the tooth type and spectrum recording site. The difference in classification accuracy between different tooth types and recording sites are discussed in terms of the molecular structure difference caused by the influence of masticatory loading or gender-dependent life events. MDPI 2021-06-29 /pmc/articles/PMC8271900/ /pubmed/34210090 http://dx.doi.org/10.3390/molecules26133983 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gamulin, Ozren
Škrabić, Marko
Serec, Kristina
Par, Matej
Baković, Marija
Krajačić, Maria
Babić, Sanja Dolanski
Šegedin, Nikola
Osmani, Aziz
Vodanović, Marin
Possibility of Human Gender Recognition Using Raman Spectra of Teeth
title Possibility of Human Gender Recognition Using Raman Spectra of Teeth
title_full Possibility of Human Gender Recognition Using Raman Spectra of Teeth
title_fullStr Possibility of Human Gender Recognition Using Raman Spectra of Teeth
title_full_unstemmed Possibility of Human Gender Recognition Using Raman Spectra of Teeth
title_short Possibility of Human Gender Recognition Using Raman Spectra of Teeth
title_sort possibility of human gender recognition using raman spectra of teeth
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271900/
https://www.ncbi.nlm.nih.gov/pubmed/34210090
http://dx.doi.org/10.3390/molecules26133983
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