As technology advances, counterfeiters improve their techniques reproducing banknotes with more accuracy. Spectroscopic techniques may be applied for characterization of these forgeries. The aim of this study was to develop a methodology for banknotes characterization employing portable X-ray fluorescence (pXRF) and portable Raman spectroscopy (RS) equipment for measurements in genuine and counterfeit Real (Brazilian currency) banknotes. Quantification of the metals in the ink and paper was carried out with pXRF data, using a sensitivity curve. pXRF spectral analysis was effective to discriminate between genuine and counterfeit bills. Moreover, the quantification of the metals enriched the analysis, since it was possible to compare elements concentration that are commonly found in genuine and counterfeit banknotes. The use of partial least square discriminant analysis (PLS-DA) applied to pXRF data was efficacious to identify fake banknotes and it may be used for further investigation about the provenance of forgeries. Principal component analysis (PCA) grouped forgeries from different seizures based on similarities in the elemental composition. The spectra obtained by RS allowed identification of characteristic bands of two pigments from the inks: phthalocyanine and diarylide. For the RS data, PLS-DA and PCA successfully discriminated R$ 50 genuine and fake banknotes.
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http://dx.doi.org/10.1016/j.forsciint.2019.06.030 | DOI Listing |
PeerJ Comput Sci
November 2024
Department of Computer Science and Engineering, Saveetha Engineering College, Thandalam, Chennai, Tamil Nadu, India.
Smartphone app expansion needs strict security measures to avoid fraud and danger. This study overcomes this issue by identifying apps differently. This new solution uses convolutional neural network (CNN), natural language processing (NLP), and the strong AppAuthentix Recommender algorithm to secure app stores and boost customer confidence in the digital marketplace.
View Article and Find Full Text PDFDrug Test Anal
October 2024
Chemical Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, UK.
Counterfeit pharmaceuticals are a subclass of falsified and substandard medicines. They are illicit products, purporting to be genuine medicines, that are made and sold by criminal organisations. They represent a significant risk to patient safety, as well as a financial and reputational threat to the companies who make the genuine medicines.
View Article and Find Full Text PDFAm J Trop Med Hyg
November 2024
Medi-Quality Security Institute, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Substandard and falsified medical products for treating COVID-19 have spread worldwide. These medicines have entered Japan through personal importation of products purchased via the Internet. In this study, we investigated the circulation of 19 COVID-19-related medicines on the Internet in Japan and evaluated the pharmaceutical quality and authenticity of 2 medicines (dexamethasone tablets and ivermectin tablets) obtained online.
View Article and Find Full Text PDFSensors (Basel)
September 2024
Department of Computer Science and Information Technology, Clayton State University, Morrow, GA 30260, USA.
The pervasive spread of fake news in online social media has emerged as a critical threat to societal integrity and democratic processes. To address this pressing issue, this research harnesses the power of supervised AI algorithms aimed at classifying fake news with selected algorithms. Algorithms such as Passive Aggressive Classifier, perceptron, and decision stump undergo meticulous refinement for text classification tasks, leveraging 29 models trained on diverse social media datasets.
View Article and Find Full Text PDFJ Appl Genet
September 2024
School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.
The chloroplast genomes of five Fritillaria ussuriensis materials from different production areas were comparatively analyzed, atpF and petB were screened as specific DNA barcodes, and the population identification and genetic diversity of F. ussuriensis were analyzed based on them. The F.
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