A Preliminary Study on the Differentiation of Linseed and Poppy Oil Using Principal Component Analysis Methods Applied to Fiber Optics Reflectance Spectroscopy and Diffuse Reflectance Imaging Spectroscopy.

FORS artists’ paint media diffuse reflectance imaging spectroscopy drying oil linseed oil paintings poppy oil

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
12 Dec 2020
Historique:
received: 26 10 2020
revised: 04 12 2020
accepted: 11 12 2020
entrez: 16 12 2020
pubmed: 17 12 2020
medline: 17 12 2020
Statut: epublish

Résumé

This paper presents results from the examination of a set of experimental samples using fibre optic reflectance spectroscopy (FORS) and diffuse reflectance imaging spectroscopy in the short-wave infrared (SWIR) range, combined with statistical analysis of the data for the discrimination and mapping of poppy and linseed oil. The aim was to evaluate the efficacy of this non-invasive approach for the study of paint samples with a view to the application of the method for characterisation of the two drying oils in painted art. The approach allowed discrimination between the two drying oils based on FORS spectra and the hyperspectral cube, indicating the influence of the spectral region around 1700 nm on the statistical discrimination based on the anti-symmetric and symmetric first overtone stretching of methylenic CH

Identifiants

pubmed: 33322658
pii: s20247125
doi: 10.3390/s20247125
pmc: PMC7764422
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

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Auteurs

Silvia Rita Amato (SR)

The Courtauld Institute of Art, Somerset House, Strand, London WC2R 0RN, UK.

Aviva Burnstock (A)

The Courtauld Institute of Art, Somerset House, Strand, London WC2R 0RN, UK.

Anne Michelin (A)

Centre de Recherche sur la Conservation, (CRC, USR 3224), Muséum National d'Histoire Naturelle, Ministère de la Culture et de la Communication, CNRS, 36 rue Geoffroy-Saint-Hilaire, CP21, 75005 Paris, France.

Classifications MeSH