Community Health Center "Kutina", Kutina, Croatia.
Department of Conservative and Preventive Dentistry, Center for Dental Medicine, University of Zurich, Zurich, Switzerland.
Appl Spectrosc. 2020 Dec;74(12):1473-1485. doi: 10.1177/0003702820905903. Epub 2020 Aug 27.
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).
利用矿化牙组织的拉曼光谱，为法医应用建立了主成分回归（PCR）年龄测定模型。从年龄在 11 至 76 岁的供体中获得了 71 颗牙齿样本。未应用任何特殊的选择标准；故意纳入受各种病理过程影响的牙齿，以模拟现实的法医场景。为了符合非破坏性样本处理要求，无需任何预处理即可从牙面收集拉曼光谱。通过从三个不同部位（牙冠、牙颈和根尖）采集光谱来评估不同的牙组织。使用全记录光谱（3500-200cm）进行主成分分析和使用 PCR 构建年龄测定模型。所获得的年龄测定模型的预测能力根据光谱采集部位而有所不同。通过从根尖的牙骨质采集拉曼光谱获得最佳的年龄测定（男性和女性供体的 R 值分别为 0.84 和 0.71）。为了实现该模型的最佳性能，必须分别分析男性和女性供体，因为将两种性别合并到一个单一模型中会大大降低其预测能力（R=0.29）。
