研究目的
The study addresses the rapid detailed characterization of marble surfaces treated with ancient and modern materials using Laser Induced Fluorescence (LIF) spectroscopy, aiming to develop a method for rapid recognition and mapping of different treatments on cultural heritage surfaces.
研究成果
The study demonstrated that LIF analysis can provide rapid and semi-automated discrimination of different treatments on marble surfaces, including original pigmentation, ancient patinas, and modern consolidants. The non-invasiveness and rapidity of the technique make it a valuable screening tool for cultural heritage conservation, preparatory for more in-depth lab analyses.
研究不足
The study acknowledges the complexity of fluorescence spectra due to overlaps between materials of different classes and the presence of superimposed layers or mixed substances. The need for ad hoc reference data sets for fluorescence bands is also noted as a limitation.
1:Experimental Design and Method Selection:
The study utilized two prototypal LIF systems for remote scanning lidar fluorosensors to analyze marble surfaces. These systems differ in their spectral resolution and acquisition speed, allowing for complementary in situ measurements.
2:Sample Selection and Data Sources:
Reference samples of marble treated with known substances (ancient and modern materials) were prepared and analyzed. Real artworks from the National Roman Museum of Palazzo Altemps were also examined.
3:List of Experimental Equipment and Materials:
Two LIF systems were used: a hyperspectral system with a spectral range of 270–947.5 nm and a multispectral system with eight spectral bands. Materials included various natural organic binders, varnishes, and modern polymers applied to marble and aluminum sheets.
4:5 nm and a multispectral system with eight spectral bands. Materials included various natural organic binders, varnishes, and modern polymers applied to marble and aluminum sheets.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The hyperspectral system provided detailed spectra for each point on the surface, while the multispectral system allowed rapid scanning of large areas. Data were cross-checked to generalize findings from detailed analyses to entire surfaces.
5:Data Analysis Methods:
Principal Component Analysis (PCA) was used to identify discriminant spectral features. Algorithms based on signal ratios were developed for material discrimination and mapping.
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