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衰减全反射傅里叶变换红外光谱成像用于分析油漆横截面中的有机材料:来自伦敦国家美术馆油漆样品的案例研究

ATR-FTIR imaging for the analysis of organic materials in paint cross sections: case studies on paint samples from the National Gallery, London.

作者信息

Spring Marika, Ricci Camilla, Peggie David A, Kazarian Sergei G

机构信息

Scientific Department, National Gallery, Trafalgar Square, London, WC2N 5DN, UK.

出版信息

Anal Bioanal Chem. 2008 Sep;392(1-2):37-45. doi: 10.1007/s00216-008-2092-y. Epub 2008 Apr 25.

Abstract

The potential of attenuated total reflection Fourier transform infrared (ATR-FTIR) imaging for the characterisation of the chemical components of paint cross sections from old master paintings was investigated. Three cross sections were chosen to cover a variety of the analytical problems encountered in samples from paintings. The binding medium and degradation products in a green paint sample from a fifteenth-century Florentine painting were imaged, as well as a thin layer within a cross-section from a fifteenth-century German painting, and multiple thin surface coatings on a painting of the 1760s by Peter Romney. The application of chemometric methods for further analysis of the large data set generated for each sample was also explored. The study demonstrated the advantages of ATR-FTIR imaging, which allowed images to be obtained with high spatial resolution (ca. 3-4 microm) without the need to microtome the sample. The gain in sensitivity in detecting trace materials and the information derived from the location of these compounds in the sample was especially valuable, improving interpretation of the FTIR analysis and extending knowledge of the sample composition beyond that obtainable with other analytical techniques.

摘要

研究了衰减全反射傅里叶变换红外(ATR-FTIR)成像技术用于表征古代大师画作中油漆横截面化学成分的潜力。选择了三个横截面,以涵盖绘画样品中遇到的各种分析问题。对一幅15世纪佛罗伦萨绘画的绿色油漆样品中的粘结介质和降解产物进行了成像,以及一幅15世纪德国绘画横截面中的一层薄层,还有彼得·罗姆尼于18世纪60年代创作的一幅画作上的多层薄表面涂层。还探索了化学计量学方法在进一步分析为每个样品生成的大数据集方面的应用。该研究证明了ATR-FTIR成像的优势,它能够在无需对样品进行切片的情况下以高空间分辨率(约3-4微米)获取图像。在检测痕量物质时灵敏度的提高以及从这些化合物在样品中的位置获得的信息尤其有价值,这改善了傅里叶变换红外分析的解释,并扩展了对样品成分的了解,超出了其他分析技术所能获得的范围。

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