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<p>Paper and silk artifacts are highly sensitive to photochemical damage during museum exhibitions. This study employs Fourier-transform infrared spectroscopy to establish crystallinity (C) and oxidation index (OI) as molecular-level photodamage indicators. Through accelerated aging experiments using the D55 standard illuminant and nine narrow-band light sources, the coupled influences of intensity (<i>I</i>), exposure time (<i>t</i>), relative spectral power distribution (<i>S</i>(<i>λ</i>)), and material relative spectral responsivity (<i>P</i>(<i>λ</i>)) were systematically quantified. A multi-parameter photodamage prediction model was established and validated, demonstrating high accuracy with mean absolute percentage errors of 8.37% for silk and 27.78% for paper. By integrating substrate degradation with color change models of 21 traditional pigments, a comprehensive predictive framework and risk-assessment software were developed. This research provides a quantitative tool for evaluating photodamage risk from museum light sources, supporting preventive conservation of paper- and silk-based artifacts.</p>

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Infrared spectroscopy based photodamage prediction model and assessment tool for paper and silk artifacts

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月25日

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  • Rui Dang,
  • Ruiqi Wang,
  • Zhenyu Hu,
  • Huijiao Tan,
  • Yuxing Liu,
  • Wenli Guo,
  • Xiangyang Song

摘要

Paper and silk artifacts are highly sensitive to photochemical damage during museum exhibitions. This study employs Fourier-transform infrared spectroscopy to establish crystallinity (C) and oxidation index (OI) as molecular-level photodamage indicators. Through accelerated aging experiments using the D55 standard illuminant and nine narrow-band light sources, the coupled influences of intensity (I), exposure time (t), relative spectral power distribution (S(λ)), and material relative spectral responsivity (P(λ)) were systematically quantified. A multi-parameter photodamage prediction model was established and validated, demonstrating high accuracy with mean absolute percentage errors of 8.37% for silk and 27.78% for paper. By integrating substrate degradation with color change models of 21 traditional pigments, a comprehensive predictive framework and risk-assessment software were developed. This research provides a quantitative tool for evaluating photodamage risk from museum light sources, supporting preventive conservation of paper- and silk-based artifacts.