Literature DB >> 19787341

FT-NIR spectroscopy for non-invasive identification of natural polymers and resins in easel paintings.

M Vagnini1, C Miliani, L Cartechini, P Rocchi, B G Brunetti, A Sgamellotti.   

Abstract

In the present study, the analytical strengths and limitations of near-infrared (NIR) spectroscopy to non-invasively characterize organic components in painting materials have been investigated. In spite of the increased amount of information available today from advanced modern analytical instrumentations dedicated to cultural heritage, the non-invasive identification of materials belonging to the wide class of organic compounds historically used in paintings is still a challenging task. Near-infrared spectroscopy offers several attractive features that make this technique particularly suitable to this purpose. In fact, it is non-invasive, allows for non-contact measurements in reflectance mode, gives molecular information on complex macromolecules, and can be performed on-site by means of portable devices. First-derivative transformation of reflectance spectroscopic data has been applied to provide a simple and fast way to deduce more information from NIR spectra. This approach has allowed spectral features to be identified that can be useful to distinguish different compounds belonging to the classes of lipids, proteins, and resins. To this purpose, at first, a spectral database of pure standard has been collected. Our analytical approach was then successfully validated on pictorial models reproducing the typical stratigraphy of an easel painting. As final step, the study of a real painting has been attempted and a drying oil, animal glue, and a terpenic natural resin, as well as an earth pigment were clearly identified, as cross-validated by GC-MS analysis.

Entities:  

Year:  2009        PMID: 19787341     DOI: 10.1007/s00216-009-3145-6

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  8 in total

1.  Historically Accurate Reconstruction of the Materials and Conservation Technologies Used on the Facades of the Artistic Buildings in Lecce (Apulia, Italy).

Authors:  Daniela Fico; Daniela Rizzo; Raffaele Casciaro; Carola Esposito Corcione
Journal:  Materials (Basel)       Date:  2022-05-20       Impact factor: 3.748

2.  Macroscale multimodal imaging reveals ancient painting production technology and the vogue in Greco-Roman Egypt.

Authors:  John K Delaney; Kathryn A Dooley; Roxanne Radpour; Ioanna Kakoulli
Journal:  Sci Rep       Date:  2017-11-14       Impact factor: 4.379

3.  Palaeoproteomics guidelines to identify proteinaceous binders in artworks following the study of a 15th-century painting by Sandro Botticelli's workshop.

Authors:  F Di Gianvincenzo; D Peggie; M Mackie; C Granzotto; C Higgitt; E Cappellini
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

4.  Rheoreversible hydrogels in paper restoration processes: a versatile tool.

Authors:  Claudia Mazzuca; Laura Micheli; Federico Marini; Marta Bevilacqua; Gianfranco Bocchinfuso; Giuseppe Palleschi; Antonio Palleschi
Journal:  Chem Cent J       Date:  2014-02-10       Impact factor: 4.215

5.  Mid and Near-Infrared Reflection Spectral Database of Natural Organic Materials in the Cultural Heritage Field.

Authors:  Claudia Invernizzi; Tommaso Rovetta; Maurizio Licchelli; Marco Malagodi
Journal:  Int J Anal Chem       Date:  2018-10-01       Impact factor: 1.885

6.  Development of Low-Cost Portable Spectrometers for Detection of Wood Defects.

Authors:  Jakub Sandak; Anna Sandak; Andreas Zitek; Barbara Hintestoisser; Gianni Picchi
Journal:  Sensors (Basel)       Date:  2020-01-19       Impact factor: 3.576

7.  The stability of paintings and the molecular structure of the oil paint polymeric network.

Authors:  Francesca Nardelli; Francesca Martini; Judith Lee; Anna Lluvears-Tenorio; Jacopo La Nasa; Celia Duce; Bronwyn Ormsby; Marco Geppi; Ilaria Bonaduce
Journal:  Sci Rep       Date:  2021-07-09       Impact factor: 4.379

8.  FT-NIR Spectroscopy for the Non-Invasive Study of Binders and Multi-Layered Structures in Ancient Paintings: Artworks of the Lombard Renaissance as Case Studies.

Authors:  Margherita Longoni; Beatrice Genova; Alessia Marzanni; Daniela Melfi; Carlotta Beccaria; Silvia Bruni
Journal:  Sensors (Basel)       Date:  2022-03-06       Impact factor: 3.576

  8 in total

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