Principal Component Regression for Forensic Age Determination Using the Raman Spectra of Teeth

Scientific paper - Original scientific paper

• Author: Aziz Osmani
• Author: Matej Par
• Author: Marko Škrabić
• Author: Marin Vodanović
• Author: Ozren Gamulin
• Author's institution: (Zagreb University Hispital Center)
• Author's institution: University of Zagreb; School of Medicine
• Author's institution: University of Zagreb; School of Dental Medicine
• Scientific / art field, discipline and subdiscipline: BIOMEDICINE AND HEALTHCARE; Dental Medicine

Abstract (english)

Raman spectra of mineralized tooth tissues were used to build a principal component regression (PCR) age determination model for forensic application. A sample of 71 teeth was obtained from donors aging from 11 to 76 years. No particular selection criteria were applied; teeth affected with various pathological processes were deliberately included to simulate a realistic forensic scenario. In order to comply with the nondestructive specimen handling, Raman spectra were collected from tooth surfaces without any previous preparation. Different tooth tissues were evaluated by collecting the spectra from three distinct sites: tooth crown, tooth neck, and root apex. Whole recorded spectra (3500–200 cm) were used for principal component analysis and building of the age determination model using PCR. The predictive capabilities of the obtained age determination models varied according to the spectra collection site. Optimal age determination was attained by using Raman spectra collected from cementum at root apex (R values of 0.84 and 0.71 for male and female donors, respectively). For optimal performance of that model, male and female donors had to be analyzed separately, as merging both genders into a single model considerably diminished its predictive capability (R = 0.29).

• Keywords (english): raman spectrometry; principal component analysis; PCA; principal component regression; PCR; age determination; forensic dentistry
• Language: english
• Publication type: Scientific paper - Original scientific paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Published version
• Journal title: Applied Spectroscopy
• Numbering: vol. 74, no. 12, pp. 1473-1485
• p-ISSN: 0003-7028
• e-ISSN: 1943-3530
• DOI: https://doi.org/10.1177/0003702820905903
• URN:NBN: urn:nbn:hr:127:211195
• Publication: 2020-08-27
• Document URL: http://journals.sagepub.com/doi/10.1177/0003702820905903
• Type of resource: Text
• Access conditions: Open access
• Created on: 2024-03-13 11:06:31