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A Multimodal Wide-Field Fourier-Transform Raman Microscope
Published on: December 30, 2025
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Development of a full micro-scale spatially offset Raman spectroscopy prototype as a portable analytical tool
Marco Realini1, Claudia Conti1, Alessandra Botteon1
1Consiglio Nazionale delle Ricerche, Istituto per la Conservazione e la Valorizzazione dei Beni Culturali (ICVBC), Via Cozzi 53, 20125, Milano, Italy. c.conti@icvbc.cnr.it.
The Analyst
|December 15, 2016
Summary
A new portable micro-Spatially Offset Raman Spectroscopy (micro-SORS) device enables in situ subsurface analysis of stratified layers. This non-invasive technique is ideal for cultural heritage and forensic applications.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Materials Science
Background:
- Conventional Raman microscopy is limited to surface analysis.
- In situ analysis of stratified layers is challenging for non-invasive techniques.
- Cultural heritage, forensics, and materials science require non-destructive depth profiling.
Purpose of the Study:
- To present a portable prototype for micro-Spatially Offset Raman Spectroscopy (micro-SORS).
- To enable in situ subsurface analysis of thin, highly turbid stratified layers.
- To demonstrate the application of the device in characterizing polymer and paint layers.
Main Methods:
- Development of a portable full micro-Spatially Offset Raman Spectroscopy (micro-SORS) system.
- Characterization of the prototype using polymer and paint layer systems.
- In situ analysis of stratified layers at depths beyond conventional Raman microscopy.
Main Results:
- The portable micro-SORS prototype successfully performed in situ subsurface analysis.
- The device demonstrated capability in analyzing thin, turbid stratified layers.
- Non-invasive characterization of painted layers and stratified polymers was achieved.
Conclusions:
- The portable micro-SORS device offers unprecedented in situ subsurface analysis capabilities.
- This technology unlocks the non-invasive and non-destructive potential of micro-SORS for large objects.
- Applications span cultural heritage, forensics, and materials science, avoiding destructive sampling.
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