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An infrared spectroscopic approach to characterise white powders, easily applicable in the context of drug checking, drug prevention and on-site analysis

distinction between amphetamine, cocaine, ketamine and other samples and this with a correct classification rate of 93.1% for an external test set. For quantitative estimation, near-infrared spectroscopy ...

Identification of coffee leaves using FT-NIR spectroscopy and SIMCA.

in order to identify coffee leaves taxa. Investigation by Fourier — Transform near infrared spectroscopy (FT- NIRS) was performed on nine Coffea taxa leaves harvested over one year in a tropical ...

Discriminating nicotine and non-nicotine containing e-liquids using infrared spectroscopy.

Electronic Cigarettes Nicotine Spectroscopy, Near-Infrared Abstract: In a few countries, including Belgium, nicotine-containing e-cigarettes and e-liquids are considered medicines, and therefore cannot freely ...

Classification trees based on infrared spectroscopic data to discriminate between genuine and counterfeit medicines.

Counterfeit Drugs Spectroscopy, Fourier Transform Infrared Spectroscopy, Near-Infrared Spectrum Analysis, Raman Abstract: Classification trees built with the Classification And Regression Tree algorithm were ...

Comparison and combination of spectroscopic techniques for the detection of counterfeit medicines.

Sildenafil Citrate Spectroscopy, Fourier Transform Infrared Spectroscopy, Near-Infrared Spectrum Analysis, Raman Sulfones Tadalafil Abstract: During this study, Fourier transform infrared spectroscopy (FT- ...

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