Cascant, Mari Merce, Rubio, Sonia, Gallello, Gianni et al. (3 more authors) (2017) Burned bones forensic investigations employing near infrared spectroscopy. Vibrational Spectroscopy. pp. 21-30. ISSN 0924-2031
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier B.V. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. |
Keywords: | Burned bones,,FT-NIR,,Chemical elements,,Statistics,FT-NIR,Burned bones,Chemical elements |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Arts and Humanities (York) > Archaeology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 16 Mar 2017 14:20 |
Last Modified: | 16 Feb 2025 00:07 |
Published Version: | https://doi.org/10.1016/j.vibspec.2017.02.005 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.vibspec.2017.02.005 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113691 |