Literature DB >> 25014725

Subsurface Raman analysis of thin painted layers.

Claudia Conti1, Chiara Colombo, Marco Realini, Giuseppe Zerbi, Pavel Matousek.   

Abstract

Here we present, for the first time, an extension of spatially offset Raman spectroscopy to thin (tens of micrometers thick), highly turbid stratified media such as those encountered in paintings. The method permits the non-destructive interrogation of painted layers in situations where conventional Raman microscopy is not applicable due to high turbidity of the top layer(s). The concept is demonstrated by recovering the pure Raman spectra of paint sub-layers that are completely obscured by paint over-layers. Potential application areas include the analysis of paintings in art preservation and restoration avoiding the cross-sectional analysis used currently with this type of samples. The technique also holds promise for the development as a non-destructive subsurface tool for in situ analysis using portable instruments.

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Year:  2014        PMID: 25014725     DOI: 10.1366/13-07376

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  3 in total

1.  Determination of thickness of thin turbid painted over-layers using micro-scale spatially offset Raman spectroscopy.

Authors:  Claudia Conti; Marco Realini; Chiara Colombo; Alessandra Botteon; Moira Bertasa; Jana Striova; Marco Barucci; Pavel Matousek
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-12-13       Impact factor: 4.226

2.  Non-invasive analysis of stored red blood cells using diffuse resonance Raman spectroscopy.

Authors:  Rekha Gautam; Joo-Yeun Oh; Rakesh P Patel; Richard A Dluhy
Journal:  Analyst       Date:  2018-12-03       Impact factor: 4.616

3.  Analytical Capability of Defocused µ-SORS in the Chemical Interrogation of Thin Turbid Painted Layers.

Authors:  Claudia Conti; Marco Realini; Alessandra Botteon; Chiara Colombo; Sarah Noll; Stephen R Elliott; Pavel Matousek
Journal:  Appl Spectrosc       Date:  2016-01       Impact factor: 2.388

  3 in total

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