prikaz prve stranice dokumenta Possibility of Human Gender Recognition Using Raman Spectra of Teeth
  Preuzmi
PDF 2.64 MB
Znanstveni rad - Izvorni znanstveni rad
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

Citirajte ovaj rad

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, br. 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 i Marin Vodanović. "Possibility of Human Gender Recognition Using Raman Spectra of Teeth." Molecules 26, br. 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, i sur.. Possibility of Human Gender Recognition Using Raman Spectra of Teeth. Molecules [Internet]. 29.06.2021. [pristupljeno 14.11.2024.];26(13). doi: 10.3390/molecules26133983

O. Gamulin, et al., "Possibility of Human Gender Recognition Using Raman Spectra of Teeth", Molecules, vol. 26, br. 13, Lipanj 2021. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:127:111389. [Citirano: 14.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:127:111389
Prijavite se u repozitorij kako biste mogli spremiti objekt u svoju listu.
Podaci o radu
Naslov (engleski)Possibility of Human Gender Recognition Using Raman Spectra of Teeth
AutorOzren Gamulin
AutorMarko Škrabić
AutorKristina Serec
AutorMatej Par
AutorMarija Baković
AutorMaria Krajačić
AutorSanja Dolanski Babić
AutorNikola Šegedin
AutorAziz Osmani
AutorMarin Vodanović
Autorova ustanovaSveučilište u Zagrebu
Medicinski fakultet
Autorova ustanovaSveučilište u Zagrebu
Stomatološki fakultet
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Dentalna medicina
Sažetak (engleski)
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.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaMolecules
Brojčani podacivol. 26, br. 13, 3983
e-ISSN1420-3049
DOIhttps://doi.org/10.3390/molecules26133983
URN:NBNurn:nbn:hr:127:111389
Datum objave publikacije2021-06-29
URL dokumentahttps://www.mdpi.com/1420-3049/26/13/3983
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2022-11-07 12:00:42