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

Almeida, Mariana Ramos; Correa, Deleon Nascimento; Rocha, Wérickson Fortunato de Carvalho; Scafi, Francisco J.O.; Poppi, Ronei J.

doi:10.1016/j.microc.2012.03.006

Cited by 128 publications

(77 citation statements)

References 30 publications

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“…Outliers are defined as observations showing some type of departure from the bulk of the data. They may occur for many different reasons, for example, when objects are from another population [33], for example, samples of pen types different from the pen types that were used in the models development.…”

Section: Resultsmentioning

confidence: 99%

“…PLS-DA method has been employed in forensic analysis, for example, in documentoscopy for identification of different types and brands of blue pen inks from visible spectroscopy data [1] and for discrimination between authentic and counterfeit banknotes from Raman spectroscopy data [33]. In this application, by using image analysis from an iPhone, the inclusion of confidence interval estimation was considered in validation step.…”

Section: Pls-da and Interval Confidence Estimationmentioning

confidence: 99%

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Nondestructive identification of blue pen inks for documentoscopy purpose using iPhone and digital image analysis including an approach for interval confidence estimation in PLS-DA models validation

Valderrama

2016

Chemometrics and Intelligent Laboratory Systems

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Section: Resultsmentioning

confidence: 99%

Section: Pls-da and Interval Confidence Estimationmentioning

confidence: 99%

Nondestructive identification of blue pen inks for documentoscopy purpose using iPhone and digital image analysis including an approach for interval confidence estimation in PLS-DA models validation

Valderrama

2016

Chemometrics and Intelligent Laboratory Systems

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“…For uncertainty estimation of PLSR model, various methods such as linearization-based methods, re-sampling method, and U-deviation have been proposed [43]. In this study, the uncertainty of the PLSR model was estimated by the re-sampling method using bootstrap residual [44]. As a first step, residues of the constructed PLSR model were calculated, and in this study, pseudo-degrees of freedom was used to obtain degree of freedom in multivariate regression [45].…”

Section: Estimation Of Prediction Uncertaintymentioning

confidence: 99%

Moisture Content Measurement of Broadleaf Litters Using Near-Infrared Spectroscopy Technique

et al. 2017

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Near-infrared spectroscopy (NIRS) was implemented to monitor the moisture content of broadleaf litters. Partial least-squares regression (PLSR) models, incorporating optimal wavelength selection techniques, have been proposed to better predict the litter moisture of forest floor. Three broadleaf litters were used to sample the reflection spectra corresponding the different degrees of litter moisture. The maximum normalization preprocessing technique was successfully applied to remove unwanted noise from the reflectance spectra of litters. Four variable selection methods were also employed to extract the optimal subset of measured spectra for establishing the best prediction model. The results showed that the PLSR model with the peak of beta coefficients method was the best predictor among all of the candidate models. The proposed NIRS procedure is thought to be a suitable technique for on-the-spot evaluation of litter moisture.

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“…For example, FTIR [2] has been applied to analyze Japanese passports and Mossbauer and X-ray fluorescence [3], ATR-infrared spectroscopy [4] and Raman spectroscopy [5] [6] have been used to analyze banknotes. All such tools are non-destructive and cheap forensic approaches, particularly when chemometrics tools are used [7]; however, instrumental operations requirements and data processing may make the spectroscopic application in questioned documents analysis complex. Gas chromatography/mass spectrometry (GC/MS) and liquid chromatography/mass spectrometry (LC/MS) have also been used to characterize, for instance, the ink composition of banknotes [8]- [12], but the pretreatment procedures required for GC/MS and LC/MS are time-consuming and may irreparably damage the samples [13].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Brazilian Driver’s License Authenticity by Easy Ambient Sonic-Spray Ionization Mass Spectrometry

Correa¹,

Schmidt²,

Franco³

et al. 2016

AJAC

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Fast and unequivocal methods of questioned document analysis are essential in forensic science. Here, a desorption/ionization technique, EASI-MS, was assessed for its ability to investigate questioned driver's licenses (DL). Two suspects DL, displaying the same personal data in the proper fields (name and ID numbers), but with different individual photos, showing similar impressions on microscopic analysis, and authentic standards documents specimens were used as test cases. Profiles from authentic DL surface were dominated by a set of few minor ions, mainly from the plasticizers bis(2-ethylhexyl)phthalate and dibutylphthalate. The seized suspect counterfeit DL on points from personal data and photo were, however, dominated by abundant diagnostic ions of m/z 463, 507, 551, 595, 639, 683, which confirmed counterfeiting. Surfynol ® and Nonoxynol-9 ® , which are common constituents of inkjet printing, were detected in the counterfeiting areas by high-accuracy EASI(+)-FT-ICR MS. The EASI-MS technique is shown therefore to offer an attractive tool for forensic investigation of questioned documents.

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

Cited by 128 publications

References 30 publications

Nondestructive identification of blue pen inks for documentoscopy purpose using iPhone and digital image analysis including an approach for interval confidence estimation in PLS-DA models validation

Nondestructive identification of blue pen inks for documentoscopy purpose using iPhone and digital image analysis including an approach for interval confidence estimation in PLS-DA models validation

Moisture Content Measurement of Broadleaf Litters Using Near-Infrared Spectroscopy Technique

Analyzing Brazilian Driver’s License Authenticity by Easy Ambient Sonic-Spray Ionization Mass Spectrometry

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