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Licensed Unlicensed Requires Authentication Published by De Gruyter March 18, 2016

Prediction of tensile strength in iron-contaminated archaeological wood by FT-IR spectroscopy – a study of degradation in recent oak and Vasa oak

  • Gunnar Almkvist EMAIL logo , Shahin Norbakhsh , Ingela Bjurhager and Kurt Varmuza
From the journal Holzforschung

Abstract

Oak from the Swedish warship Vasa and recent oak that was aged after impregnation with iron(II) chloride has been analyzed by FT-IR spectroscopy and submitted to tensile strength testing. The aim was to investigate correlations between FT-IR bands in the fingerprint region, chemical degradation, and tensile strength in iron contaminated oak. The concentration of carboxylic functions increased and the acetyl groups in the hemicellulose fraction were decreasing as a function of degradation time. These changes are accompanied by reduced tensile strength and elevated content of oxalic acid (OA) in both Vasa wood and the impregnated recent oak samples. To evaluate the possibility to predict tensile strength from spectral data, chemometric modeling by partial least-squares (PLS) regression was applied. The strategy of repeated double cross validation (rdCV) allowed a realistic prediction of tensile strength. Overall, chemical changes and mechanical performances of iron contaminated wood are strongly correlated and thus FT-IR spectroscopy is suited to predict the strength properties of the degraded wood.


Correction note:

Correction added after online publication on March 18, 2016: The original third sentence of the Abstract was: The concentration of carboxylic functions and the acetyl groups in the hemicellulose fraction were decreasing as a function of degradation time.



Corresponding author: Gunnar Almkvist, Department of Chemistry and Biotechnology, Swedish University of Agricultural Sciences (SLU), Box 7015, SE-750 07, Uppsala, Sweden

Acknowledgments

Financial support from the National Maritime Museums and Swedish National Heritage Board (Grant/Award Number: ‘3.2.2-3411-2012’) is gratefully acknowledged. We thank Dr. Gulaim Seisenbaeva for technical support with the FT-IR instrument. We thank Peter Filzmoser (TU Vienna) for support in statistics. Dr. Celine Remazeilles, Dr. Veronique Rouchon and Dr. Jacky Bernard, are acknowledged for their contributions to Figure 6. We acknowledge Anders Reimann and Eva-Lisa Lindfors (Innventia AB, Sweden), for providing reference material used in this study.

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Received: 2015-10-16
Accepted: 2016-2-16
Published Online: 2016-3-18
Published in Print: 2016-9-1

©2016 Walter de Gruyter GmbH, Berlin/Boston

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