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Adriano O. Maldaner

2 papers in the library · 27 citations · publishing 2012-2024

Papers

LSD and 9,10‐dihydro‐LSD Analyses in Street Drug Blotter Samples via Easy Ambient Sonic‐Spray Ionization MassSpectrometry (EASI‐MS)

Journal of Forensic Sciences August 6, 2012 Wanderson Romão, Bruno Duarte Sabino, Maria Izabel M. S. Bueno et al. 24 citations

Forensic identification of LSD typically relies on the Ehrlich spot test, which is nonspecific and cannot distinguish LSD from the uncontrolled substance 9,10-dihydro-LSD, recently found in Brazilian blotters. This work used easy ambient sonic-spray ionization mass spectrometry (EASI-MS) to characterize LSD and 9,10-dihydro-LSD directly from blotter surfaces. Of 41 blotters analyzed by EASI-MS, 28 tested positive for LSD, seven for 9,10-dihydro-LSD, and six for neither. Results were confirmed by high-performance liquid chromatography. Combining thin-layer chromatography with EASI-MS proved a simple, powerful screening tool for forensic drug analysis.

A compact Fourier-transform near-infrared spectrophotometer and chemometrics for characterizing a comprehensive set of seized ecstasy samples.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy June 5, 2024 Jennifer A Cavalcante, Jamille C Souza, Jarbas J R Rohwedder et al. 3 citations

A compact, low-cost near-infrared (NIR) spectrophotometer, combined with chemometric models, can classify ecstasy tablets and estimate their active ingredient content with over 96% accuracy. Using seized samples from the Brazilian Federal Police, the study applied SIMCA, LDA, PLS-DA, and PLS regression to spectral data. The models estimated total active compounds, MDMA, and MDA with root mean square errors of 4.4%, 4.2%, and 2.7% (m/m), respectively. The approach offers a practical protocol for in-field forensic screening, though limitations such as false positives and negatives are discussed, and a new method to improve classification robustness is proposed.