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Chemosensors

ISSN 2227-9040

2 papers in the library · 11 citations · publishing 2025

Papers

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.

Methods for GC/MS Analysis of the Most Commonly Seized Drugs of Abuse and Their Metabolites in Biological Samples

Chemosensors August 4, 2025 Ivan Kojić, Violeta M. Đurović, Yulia A. Smyatskaya et al. 5 citations

Gas chromatography–mass spectrometry (GC-MS) is widely used to identify and quantify drugs of abuse and their metabolites in biological samples. Many compounds, especially metabolites, require derivatization before analysis. This review describes sample preparation and GC-MS analysis for common drugs in their native form and for metabolites in urine, blood, hair, and tissue. Drugs covered include amphetamines, cannabinoids, cocaine, opioids, LSD, benzodiazepines, GHB, phencyclidine, mescaline, psilocin, and psilocybin. Analysis of the parent drugs typically needs simple extraction with or without derivatization, while metabolite analysis requires removing matrix interferences such as proteins and water. The article provides an overview of available procedures to help researchers select appropriate methods.