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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Authenticity assessment of banknotes using portable near infrared spectrometer and chemometrics

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Author(s):
Oliveira, Vanessa da Silva [1] ; Honorato, Ricardo Saldanha [2] ; Honorato, Fernanda Araujo [3] ; Pereira, Claudete Fernandes [1]
Total Authors: 4
Affiliation:
[1] Univ Fed Pernambuco, Dept Quim Fundamental, BR-50740560 Recife, PE - Brazil
[2] Superintendencia Reg Pernambuco, Policia Fed, BR-52030230 Recife, PE - Brazil
[3] Univ Fed Pernambuco, Dept Engn Quim, BR-50740521 Recife, PE - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Forensic Science International; v. 286, p. 121-127, MAY 2018.
Web of Science Citations: 4
Abstract

Spectra recorded using a portable near infrared (NIR) spectrometer, Soft Independent Modeling of Class Analogy (SIMCA) and Linear Discriminant Analysis (LDA) associated to Successive Projections Algorithm (SPA) models were applied to identify counterfeit and authentic Brazilian Real (R\$20, R\$50 and R\$100) banknotes, enabling a simple field analysis. NIR spectra (950-1650 nm) were recorded from seven different areas of the banknotes (two with fluorescent ink, one over watermark, three with intaglio printing process and one over the serial numbers with typography printing). SIMCA and SPA-LDA models were built using 1st derivative preprocessed spectral data from one of the intaglio areas. For the SIMCA models, all authentic (300) banknotes were correctly classified and the counterfeits (227) were not classified. For the two classes SPA-LDA models (authentic and counterfeit currencies), all the test samples were correctly classified into their respective class. The number of selected variables by SPA varied from two to nineteen for R\$20, R\$50 and R\$100 currencies. These results show that the use of the portable near-infrared with SIMCA or SPA-LDA models can be a completely effective, fast, and non-destructive way to identify authenticity of banknotes as well as permitting field analysis. (c) 2018 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 08/57808-1 - National Institute of Advanced Analytical Science and Technology
Grantee:Celio Pasquini
Support type: Research Projects - Thematic Grants