The stability of paintings and the molecular structure of the oil paint polymeric network
Abstract A molecular-level understanding of the structure of the polymeric network formed upon the curing of air-drying artists’ oil paints still represents a challenge. In this study we used a set of analytical methodologies classically employed for the characterisation of a paint film—based on inf...
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Nature Portfolio
2021
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oai:doaj.org-article:ed10ffd9b8d648ab90370137e4650d5b2021-12-02T16:24:50ZThe stability of paintings and the molecular structure of the oil paint polymeric network10.1038/s41598-021-93268-82045-2322https://doaj.org/article/ed10ffd9b8d648ab90370137e4650d5b2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93268-8https://doaj.org/toc/2045-2322Abstract A molecular-level understanding of the structure of the polymeric network formed upon the curing of air-drying artists’ oil paints still represents a challenge. In this study we used a set of analytical methodologies classically employed for the characterisation of a paint film—based on infrared spectroscopy and mass spectrometry—in combination with solid state NMR (SSNMR), to characterise model paint layers which present different behaviours towards surface cleaning with water, a commonly applied procedure in art conservation. The study demonstrates, with the fundamental contribution of SSNMR, a relationship between the painting stability and the chemical structure of the polymeric network. In particular, it is demonstrated for the first time that a low degree of cross-linking in combination with a high degree of oxidation of the polymeric network render the oil paint layer sensitive to water.Francesca NardelliFrancesca MartiniJudith LeeAnna Lluvears-TenorioJacopo La NasaCelia DuceBronwyn OrmsbyMarco GeppiIlaria BonaduceNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021) |
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Medicine R Science Q Francesca Nardelli Francesca Martini Judith Lee Anna Lluvears-Tenorio Jacopo La Nasa Celia Duce Bronwyn Ormsby Marco Geppi Ilaria Bonaduce The stability of paintings and the molecular structure of the oil paint polymeric network |
description |
Abstract A molecular-level understanding of the structure of the polymeric network formed upon the curing of air-drying artists’ oil paints still represents a challenge. In this study we used a set of analytical methodologies classically employed for the characterisation of a paint film—based on infrared spectroscopy and mass spectrometry—in combination with solid state NMR (SSNMR), to characterise model paint layers which present different behaviours towards surface cleaning with water, a commonly applied procedure in art conservation. The study demonstrates, with the fundamental contribution of SSNMR, a relationship between the painting stability and the chemical structure of the polymeric network. In particular, it is demonstrated for the first time that a low degree of cross-linking in combination with a high degree of oxidation of the polymeric network render the oil paint layer sensitive to water. |
format |
article |
author |
Francesca Nardelli Francesca Martini Judith Lee Anna Lluvears-Tenorio Jacopo La Nasa Celia Duce Bronwyn Ormsby Marco Geppi Ilaria Bonaduce |
author_facet |
Francesca Nardelli Francesca Martini Judith Lee Anna Lluvears-Tenorio Jacopo La Nasa Celia Duce Bronwyn Ormsby Marco Geppi Ilaria Bonaduce |
author_sort |
Francesca Nardelli |
title |
The stability of paintings and the molecular structure of the oil paint polymeric network |
title_short |
The stability of paintings and the molecular structure of the oil paint polymeric network |
title_full |
The stability of paintings and the molecular structure of the oil paint polymeric network |
title_fullStr |
The stability of paintings and the molecular structure of the oil paint polymeric network |
title_full_unstemmed |
The stability of paintings and the molecular structure of the oil paint polymeric network |
title_sort |
stability of paintings and the molecular structure of the oil paint polymeric network |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/ed10ffd9b8d648ab90370137e4650d5b |
work_keys_str_mv |
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