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).

© 2020 The Author(s)

Removal of correlated background in a high-order harmonic transient absorption spectra with principal component regression

Davide Faccialà, Benjamin W. Toulson, and Oliver Gessner
Opt. Express 29(22) 35135-35148 (2021)

Age and gender effects on perceptual color scaling using triadic comparisons

David Bimler and Valérie Bonnardel
J. Opt. Soc. Am. A 35(4) B1-B10 (2018)

Use of three tristimulus values from surface reflectance spectra to calculate the principal components for reconstructing these spectra by using only three eigenvectors

Fernando Ayala, José F. Echávarri, Pilar Renet, and Angel I. Negueruela
J. Opt. Soc. Am. A 23(8) 2020-2026 (2006)

Discrimination of healthy and carious teeth using laser-induced breakdown spectroscopy and partial least square discriminant analysis

Meisam Gazmeh, Maryam Bahreini, and Seyed Hassan Tavassoli
Appl. Opt. 54(1) 123-131 (2015)

Raman spectroscopy combined with a support vector machine for differentiating between feeding male and female infants mother’s milk

Rahat Ullah, Saranjam Khan, Samina Javaid, Hina Ali, Muhammad Bilal, and Muhammad Saleem
Biomed. Opt. Express 9(2) 844-851 (2018)