Unlocking the Information Potential of Lake Pigments through SERS and Chemometrics

Adele Bosi, Camilla Merola, Alessandro Ciccola, Federico Marini, Claudia Fasolato

Abstract

Natural product residues found in objects of historical or artistic significance present a highly complex chemical matrix. With ongoing advances in analytical and instrumental techniques, the strategies for identifying these residues are evolving. The traditional marker-based approach, which focuses on specific target molecules, is increasingly being replaced by more holistic methods that consider the full chemical profile. In this context, multivariate data analysis plays a crucial role in extracting meaningful information from such complex datasets. This study employs untargeted Surface-Enhanced Raman Scattering Spectroscopy (SERS) to explore variables that distinguish dyes extracted from various lake pigments, prepared using distinct recipes and subjected to different extraction methods. The use of ANOVA Simultaneous Component Analysis (ASCA) enabled the assessment of how various factors influence the molecular pattern observed.

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IMEKO-Metroarchaeo-2025-046.pdf

DOI

10.21014/tc26-2025.046

IMEKO TC

TC26 - Metrology for Cultural Heritage

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