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Prediction of alkaline earth elements in bone remains by near infrared spectroscopy

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  • Mari Merce Cascant
  • S Rubio
  • Gianni Gallello
  • A. Pastor
  • Salvador Garrigues
  • Miguel de la Guardia


Publication details

DateAccepted/In press - 18 Oct 2016
DateE-pub ahead of print - 19 Oct 2016
DatePublished (current) - 1 Jan 2017
Number of pages6
Pages (from-to)428-434
Early online date19/10/16
Original languageEnglish


An innovative methodological approach has been developed for the prediction of the mineral element composition of bone remains. It is based on the use of Fourier Transform Near Infrared (FT-NIR) diffuse reflectance measurements. The method permits a fast, cheap and green analytical way, to understand postmortem degradation of bones caused by the environment conditions on different skeletal parts and to select the best preserved bone samples. Samples, from the Late Roman Necropolis of Virgen de la Misericordia street and
En Gil street located in Valencia (Spain), were employed to test the proposed approach being determined calcium, magnesium and strontium in bone remains and sediments. Coefficients of determination obtained between predicted values and reference ones for Ca, Mg and Sr were 90.4, 97.3 and 97.4, with residual
predictive deviation of 3.2, 5.3 and 2.3, respectively, and relative root mean square error of prediction between 10% and 37%. Results obtained evidenced that NIR spectra combined with statistical analysis can help to predict bone mineral profiles suitable to evaluate bone diagenesis.

Bibliographical note

© 2016. Elsevier B.V. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.

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