Principal Component Regression for Forensic Age Determination Using the Raman Spectra of Teeth.
Appl Spectrosc
; 74(12): 1473-1485, 2020 Dec.
Article
in En
| MEDLINE
| ID: mdl-32031015
ABSTRACT
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-1) 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 (R2 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 (R2 = 0.29).
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Tooth
/
Age Determination by Teeth
/
Forensic Dentistry
Type of study:
Prognostic_studies
Limits:
Adolescent
/
Adult
/
Aged
/
Child
/
Female
/
Humans
/
Male
/
Middle aged
Language:
En
Journal:
Appl Spectrosc
Year:
2020
Document type:
Article
Affiliation country:
Croacia