In the field of applied researches in heritage science, the use of multivariate approach is still quite limited and often chemometric results obtained are often underinterpreted. Within this scenario, the present paper is aimed at disseminating the use of suitable multivariate methodologies and proposes a procedural workflow applied on a representative group of case studies, of considerable importance for conservation purposes, as a sort of guideline on the processing and on the interpretation of this FTIR data. Initially, principal component analysis (PCA) is performed and the score values are converted into chemical maps. Successively, the brushing approach is applied, demonstrating its usefulness for a deep understanding of the relationships between the multivariate map and PC score space, as well as for the identification of the spectral bands mainly involved in the definition of each area localised within the score maps

Giorgia Sciutto, P.O. (2017). A Multivariate Methodological Workflow for the Analysis of FTIR Chemical Mapping Applied on Historic Paint Stratigraphies. INTERNATIONAL JOURNAL OF ANALYTICAL CHEMISTRY, 2017, 1-12 [10.1155/2017/4938145].

A Multivariate Methodological Workflow for the Analysis of FTIR Chemical Mapping Applied on Historic Paint Stratigraphies

Giorgia Sciutto;Silvia Prati;Emilio Catelli;Irene Bonacini;Rocco Mazzeo
2017

Abstract

In the field of applied researches in heritage science, the use of multivariate approach is still quite limited and often chemometric results obtained are often underinterpreted. Within this scenario, the present paper is aimed at disseminating the use of suitable multivariate methodologies and proposes a procedural workflow applied on a representative group of case studies, of considerable importance for conservation purposes, as a sort of guideline on the processing and on the interpretation of this FTIR data. Initially, principal component analysis (PCA) is performed and the score values are converted into chemical maps. Successively, the brushing approach is applied, demonstrating its usefulness for a deep understanding of the relationships between the multivariate map and PC score space, as well as for the identification of the spectral bands mainly involved in the definition of each area localised within the score maps
2017
Giorgia Sciutto, P.O. (2017). A Multivariate Methodological Workflow for the Analysis of FTIR Chemical Mapping Applied on Historic Paint Stratigraphies. INTERNATIONAL JOURNAL OF ANALYTICAL CHEMISTRY, 2017, 1-12 [10.1155/2017/4938145].
Giorgia Sciutto, Paolo Oliveri, Silvia Prati, Emilio Catelli, Irene Bonacini, Rocco Mazzeo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/623853
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