http://www.cnr.it/ontology/cnr/individuo/prodotto/ID178121
FT-NIR spectroscopy for non-invasive identification of natural polymers and resins in easel paintings (Articolo in rivista)
- Type
- Label
- FT-NIR spectroscopy for non-invasive identification of natural polymers and resins in easel paintings (Articolo in rivista) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/s00216-009-3145-6 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- M. Vagnini; C. Miliani; L. Cartechini; P. Rocchi;B. G. Brunetti;A. Sgamellotti (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- M. Vagnini; B. G. Brunetti : A. Sgamellotti Centro di Eccellenza SMAArt (Scientific Methodologies applied to Archaeology and Art), c/o Dipartimento di Chimica,Università degli Studi di Perugia,via Elce di Sotto 8,06123 Perugia, Italy
C. Miliani : L. Cartechini : P. Rocchi : A. Sgamellotti CNR-ISTM, via Elce di Sotto 8, 06123 Perugia, Italy (literal)
- Titolo
- FT-NIR spectroscopy for non-invasive identification of natural polymers and resins in easel paintings (literal)
- Abstract
- In the present study, the analytical strengths and
limitations of near-infrared (NIR) spectroscopy to noninvasively
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 (literal)
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- Autore CNR
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