Scholarlink

<p>Condition assessment of works of art created using oil paints and traditional oil-based inks on paper is inherently complex, particularly when damage results from the absorption of oil binders into the paper support. Recent studies have investigated the effects of three linseed oil formulations on the optical, mechanical, morphological, and chemical properties of one pure cellulosic and two alkaline buffered wood-based papers, using oil-impregnated mock-ups subjected to accelerated humid-thermal ageing in air-tight vessels. The resulting dataset comprised colourimetry, opacity, tensile strength, pH measurements, FTIR spectroscopy, and GC-MS analysis of VOC emissions. Given the extensive and multidimensional nature of the dataset, multivariate statistical analysis, including analysis of variance (ANOVA) and Principal Component Analysis (PCA), was applied to assess the influence of ageing time, paper type, and oil formulation. The results reveal markedly different ageing behaviours between paper supports, as well as both common and formulation-specific trends among the oils.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Investigating the effect of oil binders on the paper supports via statistical analysis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月19日

查看全文
  • Penelope Banou,
  • Athena-Georgia Alexopoulou

摘要

Condition assessment of works of art created using oil paints and traditional oil-based inks on paper is inherently complex, particularly when damage results from the absorption of oil binders into the paper support. Recent studies have investigated the effects of three linseed oil formulations on the optical, mechanical, morphological, and chemical properties of one pure cellulosic and two alkaline buffered wood-based papers, using oil-impregnated mock-ups subjected to accelerated humid-thermal ageing in air-tight vessels. The resulting dataset comprised colourimetry, opacity, tensile strength, pH measurements, FTIR spectroscopy, and GC-MS analysis of VOC emissions. Given the extensive and multidimensional nature of the dataset, multivariate statistical analysis, including analysis of variance (ANOVA) and Principal Component Analysis (PCA), was applied to assess the influence of ageing time, paper type, and oil formulation. The results reveal markedly different ageing behaviours between paper supports, as well as both common and formulation-specific trends among the oils.