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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
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Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates

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Subsurface Raman analysis of thin painted layers.

Claudia Conti¹, Chiara Colombo, Marco Realini

¹Consiglio Nazionale delle Ricerche, Istituto per la Conservazione e la Valorizzazione dei Beni Culturali (ICVBC), Via Cozzi 53, 20125, Milan, Italy.

Applied Spectroscopy

|July 12, 2014

Summary

This summary is machine-generated.

Spatially offset Raman spectroscopy (SORS) is extended for non-destructive analysis of turbid stratified media, like paintings. This method successfully recovers spectra from obscured paint layers, aiding art preservation without destructive cross-sections.

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Area of Science:

Analytical Chemistry
Materials Science
Art Conservation Science

Background:

Conventional Raman microscopy struggles with highly turbid stratified media, common in layered materials like paintings.
Existing methods for analyzing subsurface layers in paintings often require destructive cross-sections.

Purpose of the Study:

To extend spatially offset Raman spectroscopy (SORS) for non-destructive analysis of thin, highly turbid stratified media.
To demonstrate the capability of SORS in recovering spectra from obscured paint layers.

Main Methods:

Adaptation and application of spatially offset Raman spectroscopy (SORS) to thin (tens of micrometers) stratified samples.
Demonstration on highly turbid media representative of painted layers.

Main Results:

Successful recovery of pure Raman spectra from paint sub-layers completely obscured by overlying layers.
Validation of SORS as a viable non-destructive technique for turbid stratified samples.

Conclusions:

SORS offers a non-destructive alternative to cross-sectional analysis for layered materials like paintings.
The technique has significant potential for art preservation, restoration, and in situ subsurface analysis with portable instruments.