Reichert Anna Sofia, López-Baldomero Ana Belén, Moronta-Montero Francisco, López-Montes Ana, Valero Eva María, Cardell Carolina
Department of Painting, Faculty of Fine Arts, University of Granada, Av. Andalucía s/n, 18071, Granada, Spain.
Department of Optics, Faculty of Sciences, University of Granada, Campus Fuentenueva, s/n, 18071, Granada, Spain.
Anal Bioanal Chem. 2025 Aug;417(19):4351-4372. doi: 10.1007/s00216-025-05948-3. Epub 2025 Jun 17.
Characterizing pigments and dyes in historical manuscripts is challenging due to the fragility of materials, the complex composition of low-concentration elements, and sampling limitations. Consequently, complementary non-invasive analytical techniques and non-contact measurement methods are often required. This study presents the most comprehensive spectral database to date, combining diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and hyperspectral imaging (HSI) to aid in identifying pigments, dyes, and binders historically used in illuminated and decorated manuscripts. A total of 156 painting mock-ups were created using traditional techniques, incorporating variations in binders, pigment particle sizes, support types, surface roughness, and application methods. Spectral imaging was performed in the visible and near infrared (VNIR) and short-wave infrared (SWIR) regions, while DRIFTS analysis covered the middle wave infrared (MWIR) region. For DRIFTS, both contact and non-contact measurements were tested. Using the samples in the database, the influence of binder, support, and grain size on the sample spectra and color were analyzed and discussed. This database facilitates pigment and dye identification using DRIFTS or HSI data independently or in combination through data fusion, applying techniques ranging from direct spectral comparison to advanced methods such as machine learning and spectral unmixing. By making this database publicly available, the study underscores the value of DRIFTS and HSI in identifying painting materials and contributes to the preservation of historical manuscripts.
由于材料的易碎性、低浓度元素的复杂组成以及采样限制,对历史手稿中的颜料和染料进行表征具有挑战性。因此,通常需要互补的非侵入性分析技术和非接触测量方法。本研究展示了迄今为止最全面的光谱数据库,结合漫反射红外傅里叶变换光谱(DRIFTS)和高光谱成像(HSI),以帮助识别历史上用于彩绘和装饰手稿的颜料、染料和粘合剂。使用传统技术制作了总共156个绘画模型,涵盖了粘合剂、颜料颗粒大小、载体类型、表面粗糙度和应用方法的变化。在可见和近红外(VNIR)以及短波红外(SWIR)区域进行了光谱成像,而DRIFTS分析覆盖了中波红外(MWIR)区域。对于DRIFTS,测试了接触式和非接触式测量。利用数据库中的样品,分析和讨论了粘合剂、载体和粒度对样品光谱和颜色的影响。该数据库有助于通过数据融合独立或组合使用DRIFTS或HSI数据来识别颜料和染料,应用的技术范围从直接光谱比较到机器学习和光谱解混等先进方法。通过公开这个数据库,该研究强调了DRIFTS和HSI在识别绘画材料方面的价值,并有助于历史手稿的保护。