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Research Article

A methodology for Raman structural quantification imaging and its application to iron indoor atmospheric corrosion products

  1. Judith Monnier1,2,
  2. Ludovic Bellot-Gurlet3,*,
  3. Denis Baron3,
  4. Delphine Neff2,
  5. Ivan Guillot1,
  6. Philippe Dillmann2

Article first published online: 27 SEP 2010

DOI: 10.1002/jrs.2765

Issue

Journal of Raman Spectroscopy

Journal of Raman Spectroscopy

Volume 42, Issue 4, pages 773–781, April 2011

Additional Information

How to Cite

Monnier, J., Bellot-Gurlet, L., Baron, D., Neff, D., Guillot, I. and Dillmann, P. (2011), A methodology for Raman structural quantification imaging and its application to iron indoor atmospheric corrosion products. J. Raman Spectrosc., 42: 773–781. doi: 10.1002/jrs.2765

Author Information

  1. 1

    Université Paris-Est, Institut de Chimie et des Matériaux Paris-Est (ICMPE) UMR 7182, CNRS and UPEC—Université Paris-Est Créteil, 94320 Thiais, France

  2. 2

    Laboratoire Archéomatériaux et Prévision de l'Altération (LAPA), SIS2M UMR 3299, CEA and CNRS, and IRAMAT UMR5060 CNRS, CEA Saclay, 91191 Gif sur Yvette cedex, France

  3. 3

    Laboratoire de Dynamique, Interactions et Réactivité (LADIR) UMR 7075, CNRS and UPMC—Université Pierre et Marie-Curie Paris 6, 94320 Thiais, France

*Laboratoire de Dynamique, Interactions et Réactivité (LADIR) UMR 7075, CNRS and UPMC—Université Pierre et Marie-Curie Paris 6, 2 rue Henri Dunant, 94320 Thiais, France.

Publication History

  1. Issue published online: 19 APR 2011
  2. Article first published online: 27 SEP 2010
  3. Manuscript Accepted: 27 JUN 2010
  4. Manuscript Received: 19 FEB 2010

Funded by

  • PNRC project
  • French National Research Agency (ANR)

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Keywords:

  • Raman micro-spectroscopy;
  • structural imaging;
  • compound content quantification;
  • archaeological artefacts;
  • iron atmospheric corrosion

Abstract

Raman structural imaging can extract original information in order to answer new questions raised in the recent studies on iron and low alloy steel corrosion. Up to now, this technique has allowed the extraction of the qualitative distribution of the compounds constituting the corrosion product layers. We propose here a methodology to extract quantitative parameters from Raman hyperspectral maps, executed by a home-developed software: LADIR-CAT. Specifically developed for iron corrosion quantitative component imaging, the approach and program operation are described. The LADIR-CAT is applied on ancient corroded iron samples originating from the Amiens cathedral (France) to establish the description and the composition of the corrosion system through quantitative compound imaging. Copyright © 2010 John Wiley & Sons, Ltd.

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