Precise in-situ detection of inorganic pigments in ancient architectural color paintings by HH-XRF

IF 2.6 1区 艺术学 Q2 CHEMISTRY, ANALYTICAL
Long Zhang, Ziyan Song, Shengda Zuo, Feng Hou, Shuaiqing Chen
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Abstract

Abstract The handheld X-ray fluorescence spectrometer (HH-XRF) is commonly used to detect the inorganic elemental composition of pigments on-site. However, the accuracy of in-situ detection results can be affected by the characteristics of the painted surface contaminants and the layered structure of pigments in ancient architectural color paintings. To mitigate this error, a method was proposed that combined the XRF spectra of inorganic pigments with the elemental concentration values obtained through principal component analysis (PCA). Additionally, this study discussed the typical surface contaminants and pigment layering found in color paintings separately. Firstly, experiments were conducted on dust accumulation layers of varying thicknesses. The results indicated that the condition of color paintings after pretreatment of dust accumulation tended to resemble the situation with thin dust accumulation during in-situ testing. A fitting formula was derived to establish a relationship between field testing and laboratory testing results. Secondly, experiments were conducted using various combinations of pigment layers. Based on the findings, it was hypothesized that there was a connection between XRF detection results and the maximum concentration value of a single element (as determined by XRF, in an unmixed or unlayered pigment sample without dust or smoke accumulation). The test results were fitted using a Polynomial formula, providing evidence for the existence of a nonlinear functional relationship between these two variables. Finally, an empirical formula for predicting the concentration values of the top color layer with different base colors was proposed. This study offered a precise method for accurately assessing pigments of ancient architectural color paintings through in-situ testing.

Abstract Image

HH-XRF对古代建筑彩画中无机颜料的精确原位检测
手持式x射线荧光光谱仪(HH-XRF)是现场检测颜料无机元素组成的常用仪器。然而,古代建筑彩画中被涂表面污染物的特性和颜料的分层结构会影响现场检测结果的准确性。为了减小这一误差,提出了将无机颜料的XRF光谱与主成分分析(PCA)得到的元素浓度值相结合的方法。此外,本研究还分别讨论了彩色绘画中常见的表面污染物和颜料分层现象。首先,对不同厚度的积尘层进行了实验。结果表明:彩色绘画在进行积尘预处理后,其积尘状态趋于与原位测试时的薄积尘状态相似。推导了一个拟合公式,建立了现场试验与实验室试验结果之间的关系。其次,采用不同的颜料层组合进行实验。根据研究结果,假设XRF检测结果与单一元素的最大浓积值之间存在联系(由XRF确定,在未混合或未分层的没有灰尘或烟雾积累的颜料样品中)。试验结果使用多项式公式拟合,为这两个变量之间存在非线性函数关系提供了证据。最后,提出了一种预测不同基色下顶色层浓度值的经验公式。本研究为通过现场测试准确鉴定古代建筑彩画颜料提供了一种精确的方法。
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来源期刊
Heritage Science
Heritage Science Arts and Humanities-Conservation
CiteScore
4.00
自引率
20.00%
发文量
183
审稿时长
19 weeks
期刊介绍: Heritage Science is an open access journal publishing original peer-reviewed research covering: Understanding of the manufacturing processes, provenances, and environmental contexts of material types, objects, and buildings, of cultural significance including their historical significance. Understanding and prediction of physico-chemical and biological degradation processes of cultural artefacts, including climate change, and predictive heritage studies. Development and application of analytical and imaging methods or equipments for non-invasive, non-destructive or portable analysis of artwork and objects of cultural significance to identify component materials, degradation products and deterioration markers. Development and application of invasive and destructive methods for understanding the provenance of objects of cultural significance. Development and critical assessment of treatment materials and methods for artwork and objects of cultural significance. Development and application of statistical methods and algorithms for data analysis to further understanding of culturally significant objects. Publication of reference and corpus datasets as supplementary information to the statistical and analytical studies above. Description of novel technologies that can assist in the understanding of cultural heritage.
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