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Fine Pore Structure Characterization in Two Gessoes Using Focused Ion Bean Scanning

Published online by Cambridge University Press:  22 August 2014

Michael Doutre ,
Ashley Freeman ,
Brad Diak ,
Alison Murray ,
George Bevan  and
Laura Fuster-López
Michael Doutre
Affiliation:
Art Conservation Program, Queen’s University, Kingston, Ontario, K7L 3N6
Ashley Freeman
Affiliation:
Art Conservation Program, Queen’s University, Kingston, Ontario, K7L 3N6
Brad Diak
Affiliation:
Mechanical and Materials Engineering, Queen’s University, Kingston, Ontario, K7L 3N6
Alison Murray
Affiliation:
Art Conservation Program, Queen’s University, Kingston, Ontario, K7L 3N6
George Bevan
Affiliation:
Art Conservation Program, Queen’s University, Kingston, Ontario, K7L 3N6
Laura Fuster-López
Affiliation:
Instituto Universitario de Restauracion del Patrimonio, Universidad Politecnica de Valencia, Valencia, Spain, 46022
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Abstract

The movement of fluids through a porous medium is a function of the material type and the size and morphology of the voids. In the conservation of painted artworks, the movement of materials (for example, cleaning solutions) is a major factor in how a work reacts to treatments and a large influence on how the work will change with time. Of particular importance in the conservation of painted surfaces is the preparatory layer. This is a highly active transport medium because it is generally highly porous and a comparatively large and uniform component of a painted surface. In this work, a gesso film of calcium carbonate and rabbit skin glue, typical of the preparatory layer of many painted works, and an acrylic-based gesso film were imaged by focused ion beam (FIB) scanning. The gessoes were milled and scanned with gallium ions serially, in sequential planes orthogonal to the plane of the film. This yielded quantifiable measurements of the fine internal structures at a resolution far higher than previously reported for this type of material. This enabled a greater understanding of the geometry of the internal surfaces, increasing the understanding of the mechanics of capillary flow and diffusive behavior in this extremely common and significant material.

Keywords

artmorphologycomposite
Type
Articles
Information
MRS Online Proceedings Library (OPL) , Volume 1656: Symposium PP – Materials Issues in Art and Archaeology X , 2014 , pp. 157 - 165
Copyright
Copyright © Materials Research Society 2014 

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References

REFERENCES

Whitmore, P., Morris, H., and Colaluca, V., Penetration of Liquid Water through Waterborne Acrylic Coatings, Modern Paints Uncovered, London ( 2007).Google Scholar
Ulrich, K., Centeno, S., Arslanoglu, J., and Del Federico, E., Absorption and Diffusion Measurements of Water in Acrylic Paint Films by Single-sided NMR, Progress in Organic Coatings 71: 283–289.9 (2011).10.1016/j.porgcoat.2011.03.019CrossRefGoogle Scholar
Doutre, M., Freeman, A., Shurvell, H.F., and Murray, A., Gessoes: Porosity and the Effects of Capillary Action, Presented at the 41st AIC Annual Meeting, Indianapolis, Indiana (2013).Google Scholar
Ferreira, E., Boon, J., van der Horst, J., Scherrer, N., Marone, F. and Stampanoni, M., 3D Synchrotron X-ray Microtomography of Paint Samples, Proc. of SPIE Vol. 7391 (2009).10.1117/12.827511CrossRefGoogle Scholar
Lin, J., Heeschen, W., Reffner, J., and Hook, J., Three-Dimensional Characterization of Pigment Dispersion in Dried Paint Films Using Focused Ion Beam–Scanning Electron Microscopy, Microsc. Microanal. 18, 266–271 (2012).10.1017/S143192761101244XCrossRefGoogle ScholarPubMed
Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA, http://imagej.nih.gov/ij/ (1997-2012).Google Scholar
Thévenaz, P., Ruttimann, U.E., and Unser, M., A Pyramid Approach to Subpixel Registration Based on Intensity, IEEE Transactions on Image Processing vol. 7, no. 1, pp. 27–41 (1998).10.1109/83.650848CrossRefGoogle ScholarPubMed
Sage, D., OrientationJ, Biomedical Image Group, École Polytechnique Fédérale de Lausanne Lausanne, Switzerland, http://bigwww.epfl.ch/demo/orientation/ (2012).Google Scholar