Chemometric approaches for document dating: Handling paper variability
Authors
Silva, Carolina; Pimentel, Maria Fernanda; Amigo Rubio, José Manuel; García Ruiz, Carmen; Ortega Ojeda, Fernando ErnestoIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/48422DOI: 10.1016/j.aca.2018.06.031
ISSN: 0003-2670
Date
2018-11-15Affiliation
Universidad de Alcalá. Departamento de Química Analítica, Química Física e Ingeniería QuímicaFunders
CAPES (Coordenação de aperfeiçoamento de pessoal de nível superior)
Bibliographic citation
Analytica Chimica Acta, 2018, v. 1031, p. 28-37
Keywords
Documentoscopy
Chemometrics
Paper Dating
Forensic.
Project
Edital Ciencias Forenses 25/2014 (CAPES-Coordenação de aperfeiçoamento de pessoal de nível superior)
"Proyecto NEQUIFOR en colaboración con Brasil"
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© Elsevier, 2018
Access rights
info:eu-repo/semantics/openAccess
Abstract
A non-destructive methodology based on Fourier Transformed Infrared Spectroscopy (FTIR) is proposed in this research to estimate the age of documents of different ages. Due the variability in the samples caused by their different chemical compositions, chemometric approaches were proposed to build one unique regression model able to determine the age of the paper regardless of its composition. PLS models were built employing Generalized Least Squares Weighting (GLSW) and Orthogonal Least Squares (OLS) filters to reduce the variability of samples from the same year. Afterwards, sparse PLS, which is an extension of the PLS model including a variable selection step, was applied to compare its performance with the preprocessing filters. All techniques proposed were compared to the initial PLS models, showing the potential of the chemometric approaches applied to FTIR data to estimate the age of unknown documents.
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