A methodological approach to study the stability of selected watercolours for painting reintegration, through reflectance spectrophotometry, Fourier transform infrared spectroscopy and hyperspectral imaging

被引:22
作者
Pelosi, Claudia [1 ]
Capobianco, Giuseppe [2 ]
Agresti, Giorgia [1 ]
Bonifazi, Giuseppe [2 ]
Morresi, Fabio [3 ]
Rossi, Sara [1 ]
Santamaria, Ulderico [1 ,3 ]
Serranti, Silvia [2 ]
机构
[1] Univ Tuscia, Largo Univ, Dept Econ Engn Soc & Business Org, Lab Diagnost & Mat Sci, I-01100 Viterbo, Italy
[2] Sapienza Rome Univ, Dept Chem Engn Mat & Environm, Via Eudossiana 18, I-00184 Rome, Italy
[3] Vatican Museums, Lab Diagnost Conservat & Restorat, V-001100 Vatican City, Vatican City St, Vatican
关键词
Watercolours stability monitoring; Fourier transform infrared spectroscopy; Reflectance spectrophotometry; Hyperspectral imaging; Multivariate analysis; PLANT GUMS; IN-SITU; CULTURAL-HERITAGE; IDENTIFICATION; CLASSIFICATION; BINDERS; PIGMENTS; CHEMOMETRICS; SAMPLES; COLOR;
D O I
10.1016/j.saa.2018.03.008
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
The aim of this work is to investigate the stability to simulated solar radiation of some paintings samples through a new methodological approach adopting non-invasive spectroscopic techniques. In particular, commercial watercolours and iron oxide based pigments were used, these last ones being prepared for the experimental by gum Arabic in order to propose a possible substitute for traditional reintegration materials. Reflectance spectrophotometry in the visible range and Hyperspectral Imaging in the short wave infrared were chosen as non-invasive techniques for evaluation the stability to irradiation of the chosen pigments. These were studied before and after artificial ageing procedure performed in Solar Box chamber under controlled conditions. Data were treated and elaborated in order to evaluate the sensitivity of the chosen techniques in identifying the variations on paint layers, induced by photo-degradation, before they could be observed by eye. Furthermore a supervised classification method for monitoring the painted surface changes adopting a multivariate approach was successfully applied. (C) 2018 Elsevier B.V. All rights reserved
引用
收藏
页码:92 / 106
页数:15
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