| Literature DB >> 34244532 |
Francesca Nardelli1, Francesca Martini1,2, Judith Lee3, Anna Lluvears-Tenorio1, Jacopo La Nasa1, Celia Duce1, Bronwyn Ormsby3, Marco Geppi1,2, Ilaria Bonaduce4.
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.Entities:
Year: 2021 PMID: 34244532 PMCID: PMC8270892 DOI: 10.1038/s41598-021-93268-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Triglyceride composition of linseed oil, and its evolution in a paint film.
Figure 2Ge-ATR spectra of control NWS sample (top) and WS sample (bottom).
Figure 3Thermogravimetric curves (top) and their derivatives (bottom) of WS and NWS samples at 10°min−1 under nitrogen.
Figure 4HPLC-ESI-Q-ToF extracted ion chromatograms obtained for the extracts of NWS (a) and WS (b). The two chromatograms were normalized according to the tristearin content. The complete list of all the species detected is reported in Table S.4 in the supplementary materials.
Figure 5Fitting of the combined MSE/CPMG relaxation curves obtained for the (a) NWS and (b) WS sample. For each sample, the total fitting function (orange line) and the single contributions of the Gaussian (blue line), short-T2 (red line), and long-T2 (green line) exponential functions are shown.
Best-fitting parameters obtained from the fitting of the combined MSE/CPMG relaxation curves with a linear combination of one Gaussian function (gau) and two exponential functions (exp1, exp2).
| Sample | gaua | exp1a | exp2a | |||
|---|---|---|---|---|---|---|
| W (%) | T2 (μs) | W (%) | T2 (μs) | W (%) | T2 (μs) | |
| NWS | 35 | 19 | 53 | 44 | 12 | 757 |
| WS | 34 | 19 | 47 | 49 | 19 | 1411 |
aFor each function, the values of 1H T2 and weight (W) are reported. The error on the values of T2 and W was estimated to be less than 5%.
Figure 613C DEPTH (a,c) and 1H–13C CP-MAS (b,d) spectra of NWS (a,b) and WS (c,d) samples.