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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8271900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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