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Portable near-infrared spectroscopy applied to abuse drugs and medicines analyses

Abstract

Near infrared (NIR) spectroscopy using portable instrument (microNIR) associated with chemometrics model (partial least squares regression (PLS), principal component analysis (PCA) and hierarchical cluster analysis (HCA)) was applied to quantify cocaine, and to classify synthetic drugs a a function of their chemical composition present in 19 ecstasy tablets, 22 seals of designer drugs and 23 medicines samples. Cocaine content in range of 0 to 100 wt% was quantified by PLS model with root means square error of prediction of 6 wt%. Then the PLS model was applied in 38 cocaine samples seized and their results were compared to liquid chromatography with a diode array detector. microNIR spectra was able to discriminate the seals samples between LSD and NBOMes derivatives while for the ecstasy tablets, five groups were formed containing (1) MDMA; (2) amphetamine, ATS, methamphetamine, MDMA, 2C-B; (3) amphetamine and Caffeine; (4) MDMA; and (5) ethylone and ketamine. Lastly, the results of the medicines analysis indicated a lack of quality control (with distinct dosages than specified on the packaging) or the falsification of them.

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Publication details

The article was accepted on 06 Jan 2018 and first published on 08 Jan 2018


Article type: Paper
DOI: 10.1039/C7AY02998E
Citation: Anal. Methods, 2018, Accepted Manuscript
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    Portable near-infrared spectroscopy applied to abuse drugs and medicines analyses

    R. M. Correia, E. Domingos, F. Tosato, N. Araujo, J. Almeida, M. Silva, M. C. A. Marcelo, R. S. Ortiz, P. R. Filgueiras and W. Romão, Anal. Methods, 2018, Accepted Manuscript , DOI: 10.1039/C7AY02998E

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