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Classification and identification of organic binding media in artworks by means of Fourier transform infrared spectroscopy and principal component analysis

机译:傅里叶变换红外光谱法和主成分分析法对艺术品中有机结合介质的分类鉴定

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摘要

Fourier transform infrared spectroscopy is a powerful analytical technique to study organic materials. However, in Cultural Heritage, since the sample under analysis is always a complicated matrix of several materials, data analysis performed through peak-by-peak comparisons of sample spectra with those of standard compounds is a tedious method that does not always provide good results. To overcome this problem, a chemometric model based on principal component analysis was developed to classify and identify organic binding media in artworks. The model allows the differentiation of five families of binders: drying oils, waxes, proteins, gums, and resins, taking into account the absorption bands in two characteristic spectral windows: C–H stretching and carbonyl band. This new methodology was applied in the characterization of binders in three kinds of artworks: papers of historical, archeological, and artistic value, easel paintings, and polychromed stone-based sculptures.
机译:傅立叶变换红外光谱是研究有机材料的强大分析技术。但是,在文化遗产中,由于所分析的样品始终是多种材料的复杂矩阵,因此,通过对样品光谱与标准化合物进行逐峰比较来进行数据分析是一种单调乏味的方法,无法始终提供良好的结果。为了克服这个问题,开发了一种基于主成分分析的化学计量学模型来对艺术品中的有机结合介质进行分类和识别。该模型考虑到两个特征光谱窗口中的吸收带:CH拉伸和羰基带,可以区分五类粘合剂:干燥油,蜡,蛋白质,树胶和树脂。这种新方法已应用于三种艺术品的粘合剂的表征:历史,考古和艺术价值的论文,画架绘画和彩色石材雕塑。

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