prikaz prve stranice dokumenta Possibility of Human Gender Recognition Using Raman Spectra of Teeth
  Download
PDF 2.64 MB
Scientific paper - Original scientific paper
Possibility of Human Gender Recognition Using Raman Spectra of Teeth
Molecules, 26 (2021), 13; 3983. https://doi.org/10.3390/molecules26133983
Gamulin, Ozren; Škrabić, Marko; Serec, Kristina; Par, Matej; Baković, Marija; Krajačić, Maria; Babić, Sanja Dolanski; Šegedin, Nikola; Osmani, Aziz; Vodanović, Marin

Cite this document

Gamulin, O., Škrabić, M., Serec, K., Par, M., Baković, M., Krajačić, M. ... Vodanović, M. (2021). Possibility of Human Gender Recognition Using Raman Spectra of Teeth. Molecules, 26. (13). doi: 10.3390/molecules26133983

Gamulin, Ozren, et al. "Possibility of Human Gender Recognition Using Raman Spectra of Teeth." Molecules, vol. 26, no. 13, 2021. https://doi.org/10.3390/molecules26133983

Gamulin, Ozren, Marko Škrabić, Kristina Serec, Matej Par, Marija Baković, Maria Krajačić, Sanja Dolanski Babić, Nikola Šegedin, Aziz Osmani and Marin Vodanović. "Possibility of Human Gender Recognition Using Raman Spectra of Teeth." Molecules 26, no. 13 (2021). https://doi.org/10.3390/molecules26133983

Gamulin, O., et al. (2021) 'Possibility of Human Gender Recognition Using Raman Spectra of Teeth', Molecules, 26(13). doi: 10.3390/molecules26133983

Gamulin O, Škrabić M, Serec K, Par M, Baković M, Krajačić M, and sur.. Possibility of Human Gender Recognition Using Raman Spectra of Teeth. Molecules [Internet]. 2021 June 29 [cited 2024 April 23];26(13). doi: 10.3390/molecules26133983

O. Gamulin, et al., "Possibility of Human Gender Recognition Using Raman Spectra of Teeth", Molecules, vol. 26, no. 13, June 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:127:111389. [Accessed: 23 April 2024]

Please login to the repository to save this object to your list.
Metadata
Title (english)Possibility of Human Gender Recognition Using Raman Spectra of Teeth
AuthorOzren Gamulin
AuthorMarko Škrabić
AuthorKristina Serec
AuthorMatej Par
AuthorMarija Baković
AuthorMaria Krajačić
AuthorSanja Dolanski Babić
AuthorNikola Šegedin
AuthorAziz Osmani
AuthorMarin Vodanović
Author's institutionUniversity of Zagreb
School of Medicine
Author's institutionUniversity of Zagreb
School of Dental Medicine
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Dental Medicine
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleMolecules
Numberingvol. 26, no. 13, 3983
e-ISSN1420-3049
DOIhttps://doi.org/10.3390/molecules26133983
URN:NBNurn:nbn:hr:127:111389
Publication2021-06-29
Document URLhttps://www.mdpi.com/1420-3049/26/13/3983
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2022-11-07 12:00:42