1. Has your ancient stamp been regummed with synthetic glue? A FT-NIR and FT-Raman study
- Author
-
Silvia Lanteri, Ludovic Duponchel, Remo Simonetti, Paolo Oliveri, Adrien Henry, Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement - UMR 8516 (LASIRE), Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille Institut (CLIL), Department of Pharmacy, University of Genoa (UNIGE), Laboratoire de Génie civil et Géo-environnement (LGCgE), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Lille-Université d'Artois (UA)-Université catholique de Lille (UCL)-École polytechnique universitaire de Lille (Polytech Lille), Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Genova = University of Genoa (UniGe), Université d'Artois (UA)-École polytechnique universitaire de Lille (Polytech Lille)-Université de Lille-Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Yncréa Hauts-de-France, and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)
- Subjects
Analytical chemistry ,02 engineering and technology ,Data fusion ,NIR spectroscopy ,Philately ,Principal component analysis (PCA) ,Raman spectroscopy ,Stamp gum ,Spectrum Analysis, Raman ,01 natural sciences ,Analytical Chemistry ,Ft raman ,Adhesives ,Spectral data ,GLUE ,Principal Component Analysis ,Spectroscopy, Near-Infrared ,Chemistry ,business.industry ,010401 analytical chemistry ,Pattern recognition ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry ,Principal component analysis ,Artificial intelligence ,0210 nano-technology ,business - Abstract
The potential of FT-NIR and FT-Raman spectroscopies to characterise the gum applied on the backside of ancient stamps was investigated for the first time. This represents a very critical issue for the collectors' market, since gum conditions heavily influence stamp quotations, and fraudulent application of synthetic gum onto damaged stamp backsides to increase their desirability is a well-documented practice. Spectral data were processed by exploratory pattern recognition tools. In particular, application of principal component analysis (PCA) revealed that both of the spectroscopic techniques provide information useful to characterise stamp gum. Examination of PCA loadings and their chemical interpretation confirmed the robustness of the outcomes. Fusion of FT-NIR and FT-Raman spectral data was performed, following both a low-level and a mid-level procedure. The results were critically compared with those obtained separately for the two spectroscopic techniques.
- Published
- 2016
- Full Text
- View/download PDF