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Burned bones forensic investigations employing near infrared spectroscopy

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Author(s)

  • Mari Merce Cascant
  • Sonia Rubio
  • Gianni Gallello
  • Agustin Pastor
  • Salvador Garrigues
  • Miguel De la Guardia

Department/unit(s)

Publication details

JournalVibrational Spectroscopy
DateAccepted/In press - 22 Feb 2017
DateE-pub ahead of print - 27 Mar 2017
DatePublished (current) - May 2017
Volume90
Number of pages10
Pages (from-to)21-30
Early online date27/03/17
Original languageEnglish

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.

Bibliographical note

© 2017 Elsevier B.V. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.

    Research areas

  • Burned bones, FT-NIR, Chemical elements, Statistics

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