Diffuse reflectance spectroscopic mapping imaging applied to art objects materials determination from 200 up to 5000...

Area of Science:

• Art conservation science
• Analytical chemistry
• Spectroscopy
• Artificial intelligence

Background:

• Traditional analytical spectroscopic methods often require microsampling, which can damage valuable art objects.
• There is a critical need for non-destructive techniques to analyze and preserve cultural heritage.
• Material identification is crucial for art authentication, restoration, and understanding historical techniques.

Purpose of the Study:

• To develop and present a novel device for the non-destructive identification of art objects.
• To support the device's operation with advanced signal processing and artificial intelligence techniques.
• To enable detailed analysis of individual paint layers within an artwork.

Main Methods:

• The developed device integrates ultraviolet, visible, near-infrared, and mid-infrared spectroscopy.
• Diffuse reflectance mode is employed for spectral data acquisition.
• Signal processing and artificial intelligence algorithms are utilized for data analysis and material identification.

Main Results:

• The proposed device successfully identifies materials within different paint layers of art objects.
• The combination of multiple spectroscopic ranges provides comprehensive material characterization.
• The employed AI and signal processing enhance the accuracy and reliability of the identification.

Conclusions:

• The novel spectroscopic device offers a non-destructive solution for art object analysis.
• This approach facilitates the preservation and study of cultural heritage artifacts.
• The integration of advanced analytical techniques paves the way for future innovations in art science.