6533b7cffe1ef96bd12598c8

RESEARCH PRODUCT

Burned bones forensic investigations employing near infrared spectroscopy

Mari Merce CascantSonia RubioSalvador GarriguesAgustín PastorMiguel De La GuardiaGianni GallelloGianni Gallello

subject

010506 paleontologyStrontiumMaterials scienceMagnesium010401 analytical chemistryNear-infrared spectroscopychemistry.chemical_elementMineralogyLinear discriminant analysis01 natural sciences0104 chemical scienceschemistryPrincipal component analysisPartial least squares regressionNir spectra1607SpectroscopySpectroscopy0105 earth and related environmental sciences

description

The use of near infrared (NIR) spectroscopy was evaluated, by using chemometric tools, for the study of the environmental impact on burned bones. Spectra of internal and external parts of burned bones, together with sediment samples, were treated by Principal Component Analysis and cluster classification as exploratory techniques to select burned bone samples, less affected by environmental processes, to properly carry out forensic studies. Partial Least Square Discriminant Analysis was used to build a model to classify bone samples based on their burning conditions, providing an efficient and accurate method to discern calcined and carbonized bone. Additionally, Partial Least Square regression models were built to predict calcium, magnesium and strontium concentration of bone samples from their NIR spectra, being obtained an accurate root mean square error of prediction of 5.2% for calcium. Furthermore a screen methodology, for magnesium and strontium prediction, with a RPD of 0.24 and 1.08 respectively, was developed.

10.1016/j.vibspec.2017.02.005http://dx.doi.org/10.1016/j.vibspec.2017.02.005