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Dušan Dimić

2 papers in the library · 33 citations · publishing 2023-2025

Papers

Application of Quantum–Chemical Methods in the Forensic Prediction of Psychedelic Drugs’ Spectra (IR, NMR, UV–VIS, and MS): A Case Study of LSD and Its Analogs

Applied Sciences February 25, 2023 Jelica Džodić, Dejan Milenković, Milica Marković et al. 27 citations

Theoretical methods accurately predict the infrared, NMR, UV-VIS, and mass spectra of lysergic acid diethylamide (LSD) when compared with experimental data. Optimizing the molecular structure at the M05-2X/6-311++G(d,p) level of theory yielded bond lengths within 0.0436 Å and bond angles within 2.70° of crystallographic data. The computed C=O stretching vibration differed from experimental by less than 11 cm⁻¹. Predicted 13C NMR chemical shifts correlated with experimental values at 0.999, with a mean absolute error of 2.0 ppm. The calculated ground-to-excited-state energy difference of 330 nm matched the observed UV-VIS band. This approach was validated against a seized-sample GC-MS spectrum and by computing NMR spectra of common LSD analogs, demonstrating its potential for characterizing novel psychedelics.

Emerging Novel Psychoactive Substances (2020–2025): GC-MS Approaches for Separation, Detection, and Characterization

Chemosensors December 9, 2025 Dušan Dimić 6 citations

Since 2020, hundreds of new psychoactive substances (NPSs) such as synthetic cannabinoids, cathinones, opioids, hallucinogens, and dissociatives have appeared on the illicit market, often in complex mixtures. Gas chromatography-mass spectrometry (GC-MS) remains the primary tool for their detection and identification due to its reproducible spectra, established reference libraries, and robustness toward complex matrices. Recent advances from 2020 to 2025 include improved extraction and derivatization methods, chromatographic optimization for distinguishing isomers, and chemometric analysis for automated classification. The technique works on powders, herbal materials, vaping liquids, infused papers, and biological specimens like blood, urine, and hair. Continuous innovation in GC-MS methodology has kept pace with the rapidly evolving NPS landscape, maintaining its role as a reliable, adaptable, and cost-effective monitoring platform.