Discrimination between authentic and counterfeit banknotes using raman spectroscopy and PLS-DA with uncertainty estimation

Microchemical Journal

Volumn 109, Issue , 2013, Pages 170-177

  de Almeida, Mariana R ^a   Correa, Deleon N ^a,b   Rocha, Werickson F C ^c   Scafi, Francisco J O ^b   Poppi, Ronei J ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b Technical Scientific Police Superintendency Criminalistic Institute Dr Octávio Eduardo de Brito Alvarenga IC SPTC SP   (Brazil)

^c INSTITUTO NACIONAL DE METROLOGIA   (Brazil)

Author keywords

Banknotes; Chemometric; Counterfeits; Raman spectroscopy; Uncertainty estimation

Indexed keywords

EID: 84876071388     PISSN: 0026265X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.microc.2012.03.006     Document Type: Article

References (35)

1. Banco Central do Brasil, Departamento do Meio Circulante, SISMECIR. Accessed on 28/09/2011. http://www.bcb.gov.br/htms/mecir/seguranca/EstatisticaFalsificacao%20%20UF%20X%20Denominacao_internet_2011.pdf.
2. Villa A., Ferrer N., Mantecón J., Bretón D., García J.F. Development of a fast and non-destructive procedure for characterizing and distinguishing original and fake euro notes. Anal. Chim. Acta 2006, 559:257-263.
3. Eberlin L.S., Haddad R., Sarabia Neto R.C., Cosso R.G., Maia D.R.J., Maldaner A.O., Zacca J.J., Sanvido G.B., Romão W., Vaz B.G., Ifa D.E., Dill A., Graham Cooks R., Eberlin M.N. Instantaneous chemical profiles of banknotes by ambient mass spectrometry. Analyst 2010, 135:2533-2539.
4. Armenta S., de la Guardia M. Analytical methods to determine cocaine contamination of banknotes from around the world. Trends Anal. Chem. 2008, 27:344-351.
5. Frederick K.A., Pertaub R., Kam N.W.S. Identification of individual drug crystals on paper currency using Raman microspectroscopy. Spectrosc. Lett. 2004, 37:301-310.
6. Dixon S.J., Brereton R.G., Carter J.F., Sleeman R. Determination of cocaine contamination on banknotes using tandem mass spectrometry and pattern recognition. Anal. Chim. Acta 2006, 559:54-63.
7. Zieba-Palus J., Trzcinska B.M. Establishing of chemical composition of printing ink. J. Forensic Sci. 2011, 56:819-821.
8. Schulte F., Brzezinka K.W., Lutzenberger K., Stege H., Panne U. Raman spectroscopy of synthetic organic pigments used in 20th century works of art. J. Raman Spectrosc. 2008, 39:1455-1463.
9. Vandenabeele P., Moens L., Edwards H.G.M., Dams R. Raman spectroscopic database of azo pigments and application to modern art studies. J. Raman Spectrosc. 2000, 31:509-517.
10. Zieba-Paulus J., Was-Gubala J. An investigation into the use of micro-Raman spectroscopy for the analysis of car paints and single textile fibres. J. Mol. Struct. 2011, 993:127-133.
11. Skenderovska M., Minčeva-Šukarova B., Andreeva L. Application of micro-Raman and FT-IR spectroscopy in forensic analysis of automotive topcoats in the Republic of Macedonia. Maced. J. Chem. Chem. Eng. 2008, 27:9-17.
12. Ali E.M.A., Edwards H.G.M., Hargreaves M.D., Scowen I.J. In situ detection of cocaine hydrochloride in clothing impregnated with the drug using benchtop and portable Raman spectroscopy. J. Raman Spectrosc. 2010, 41:938-943.
13. Moore D.S., Scharff R.J. Portable Raman explosives detection. Anal. Bioanal. Chem. 2009, 393:1571-1578.
14. Lepot L., De Wael K., Gason F., Gilbert B. Application of Raman spectroscopy to forensic fibre cases. Sci. Justice 2008, 48:109-117.
15. Preisner O., Lopes J.A., Guiomar R., Machado J., Machado J.C., Menezes J.C. Fourier transform infrared (FT-IR) spectroscopy in bacteriology: towards a reference method for bacteria discrimination. Anal. Bioanal. Chem. 2007, 387:1739-1748.
16. ABNT NBR ISO/IEC 17025 Requisitos Gerais para Competência de Laboratórios de Ensaio e Calibração 2005, ABNT, Rio de Janeiro.
17. Zhang L., Garcia-Munoz S. A comparison of different methods to estimate prediction uncertainty using Partial Least Square (PLS): a practitioner's perspective. Chemom. Intell. Lab. Syst. 2009, 97:152-158.
18. Pereira A.C., Reis M.S., Saraiva P.M., Marques J.C. Madeira wine ageing prediction based on different analytical technique: UV-vis, GC-MS, HPLC-DAD. Chemom. Intell. Lab. Syst. 2011, 105:43-55.
19. Boiret M., Meunier L., Ginot Y.M. Tablet potency of Tianeptine in coated tablets by near infrared spectroscopy: model optimization, calibration transfer and confidence intervals. J. Pharm. Biomed. Anal. 2011, 54:510-516.
20. Faber N.M. Uncertainty estimation for multivariate regression coefficients. Chemom. Intell. Lab. Syst. 2002, 64:169-179.
21. Braga J.W.B., Poppi R.J. Comparison of variance sources and confidence limits in two PLSR models for determination of the polymorphic purity of carbamazepine. Chemom. Intell. Lab. Syst. 2006, 80:50-56.
22. Olivieri A.C., Faber N.M., Ferré J., Boqué R., Kalivas J.H., Mark H. Uncertainty estimation and figures of merit for multivariate calibration. Pure Appl. Chem. 2006, 78:633-661.
23. Preisner O., Lopes J.A., Menezes J.C. Uncertainty assessment in FT-IR spectroscopy based bacteria classification models. Chemom. Intell. Lab. Syst. 2008, 94:33-42.
24. Barker M., Rayens W. Partial least square for discrimination. J. Chemom. 2003, 17:166-173.
25. Martens H., Martens M. Modified jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR). Food Qual. Prefer. 2000, 11:5-16.
26. Wold S., Sjöström M., Eriksson L. PLS-regression: a basic tool of chemometrics. Chemom. Intell. Lab. Syst. 2001, 58:109-130.
27. Wise B.M., Gallagher N.B., Bro R., Shaver J.M., Windig W., Koch R.S. Chemometris Tutorial for PLS_Toobox and Solo 2006, Eigenvector Research, Inc., 3905 West Eaglerock Drive, Wenatchee, WA 98801 USA.
28. Efron B., Tibshirani R.J. An Introduction to the Bootstrap 1993, Chapman and Hall, New York.
29. Davison A.C., Hinkley D.V. Bootstrap Methods and Their Applications 1997, Cambridge University Press, Cambridge.
30. Efron B. Bootstrap methods: another look at the jackknife. Ann. Stat. 1979, 7:1-26.
31. van der Voet H. Pseudo-degrees of freedom for complex predictive models: the example of partial least squares. J. Chemom. 1999, 13:195-208.
32. Wehrens R., Putter H., Buydens L.M.C. The bootstrap: a tutorial. Chemom. Intell. Lab. Syst. 2000, 54:35-52.
33. Zoubir A.M., Boashash B. The bootstrap and its application in signal processing. IEEE Signal Process. Mag. 1998, 15:55-76.
34. Poon K.W.C., Dadour I.R., McKinley A.J. In situ chemical analysis of modern organic tattooing inks and pigments by micro-Raman spectroscopy. J. Raman Spectrosc. 2008, 39:1227-1237.
35. Tackley D.R., Dent G., Smith W.E. Phthalocyanines: structure and vibrations. Phys. Chem. Chem. Phys. 2001, 3:1419-1426.