Alvarez-Martin Alba, Quanico Jusal, Scovacricchi Teresa, Avranovich Clerici Ermanno, Baggerman Geert, Janssens Koen
AXIS, NANOLab Centre of Excellence, Department of Physics, University of Antwerp, 2020 Antwerpen, Belgium.
Conservation and Science, Rijksmuseum Amsterdam, 1071 ZC Amsterdam, The Netherlands.
Anal Chem. 2023 Dec 12;95(49):18215-18223. doi: 10.1021/acs.analchem.3c03992. Epub 2023 Nov 23.
Matrix assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) has become a powerful method to extract spatially resolved chemical information in complex materials. This study provides the first use of MALDI-MSI to define spatial-temporal changes in oil paints. Due to the highly heterogeneous nature of oil paints, the sample preparation had to be optimized to prevent molecules from delocalizing. Here, we present a new protocol for the layer-specific analysis of oil paint cross sections achieving a lateral resolution of 10 μm and without losing ionization efficiency due to topographic effects. The efficacy of this method was investigated in oil paint samples containing a mixture of two historic organic pigments, geranium lake and lead white, a mixture often employed in the work of painter Vincent Van Gogh. This methodology not only allows for spatial visualization of the molecules responsible for the pink hue of the paint but also helps to elucidate the chemical changes behind the discoloration of paintings with this composition. The results demonstrate that this approach provides valuable molecular compositional information about the degradation pathways of pigments in specific paint layers and their interaction with the binding medium and other paint components and with light over time. Since a spatial correlation between molecular species and the visual pattern of the discoloration pattern can be made, we expect that mass spectrometry imaging will become highly relevant in future degradation studies of many more historical pigments and paints.
基质辅助激光解吸电离质谱成像(MALDI-MSI)已成为一种从复杂材料中提取空间分辨化学信息的强大方法。本研究首次使用MALDI-MSI来定义油画颜料的时空变化。由于油画颜料具有高度异质性,必须对样品制备进行优化,以防止分子离域。在此,我们提出了一种用于油画颜料横截面层特异性分析的新方案,该方案实现了10μm的横向分辨率,且不会因地形效应而损失电离效率。在含有天竺葵红和铅白这两种历史有机颜料混合物的油画颜料样品中研究了该方法的有效性,这种混合物常用于画家文森特·梵高的作品中。该方法不仅可以对导致颜料粉色调的分子进行空间可视化,还有助于阐明具有这种成分的绘画变色背后的化学变化。结果表明,该方法提供了有关特定颜料层中颜料降解途径及其与粘结介质和其他颜料成分以及随时间与光相互作用的有价值的分子组成信息。由于可以建立分子种类与变色图案的视觉模式之间的空间相关性,我们预计质谱成像在未来更多历史颜料和绘画的降解研究中将变得高度相关。