Micalizzi Giuseppe, Cucinotta Lorenzo, Chiaia Valentina, Alibrando Filippo, Cannizzaro Francesca, Branca Gabriele, Maida Pietro, Oliveri Paolo, Mondello Luigi, Sciarrone Danilo
Messina Institute of Technology c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, former Veterinary School, University of Messina, Viale G. Palatucci snc, Messina 98168, Italy.
Messina Institute of Technology c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, former Veterinary School, University of Messina, Viale G. Palatucci snc, Messina 98168, Italy.
J Chromatogr A. 2024 Jul 19;1727:464994. doi: 10.1016/j.chroma.2024.464994. Epub 2024 May 11.
This research aimed to support police forces in their battle against illicit drug trafficking by means of a multi-technique approach, based on gas chromatography. In detail, this study was focused on the profiling of volatile substances in narcotic Cannabis sativa L. flowering tops. For this purpose, the Scientific Investigation Department, RIS Carabinieri of Messina, provided 25 seized samples of Cannabis sativa L. The content of Δ-tetrahydrocannabinol (THC), useful to classify cannabis plant as hemp (≤ 0.2 %) or as marijuana (> 0.2 %), was investigated. Essential oils of illicit drug samples were extracted using a microwave-assisted hydro-distillation (MAHD) system; GC-MS and GC-FID analytical techniques were used for the characterization of the terpenes and terpenoids fingerprint. Furthermore, the enantiomeric and carbon isotopic ratios of selected chiral compounds were investigated using a heart-cutting multidimensional GC (MDGC) approach. The latter exploited a combination of an apolar column in the first dimension, and a chiral cyclodextrin-based column in the second one, prior to parallel isotope-ratio mass spectrometry (C-IRMS) and MS detection. Finally, all the data were gathered into a statistical model, to demonstrate the existence of useful parameters to be used for the classification of seized samples.
本研究旨在通过基于气相色谱的多技术方法，支持警方打击非法毒品贩运。具体而言，本研究聚焦于对麻醉性植物大麻（Cannabis sativa L.）开花顶端挥发性物质的剖析。为此，墨西拿的宪兵科学调查部（RIS Carabinieri）提供了25份查获的大麻（Cannabis sativa L.）样本。研究了Δ-四氢大麻酚（THC）的含量，该含量有助于将大麻植物分类为工业大麻（≤0.2%）或大麻（>0.2%）。使用微波辅助水蒸馏（MAHD）系统提取非法毒品样本的精油；采用气相色谱-质谱联用（GC-MS）和气相色谱-火焰离子化检测（GC-FID）分析技术对萜类和萜类化合物指纹进行表征。此外，使用中心切割多维气相色谱（MDGC）方法研究了选定手性化合物的对映体和碳同位素比率。后者在平行同位素比率质谱（C-IRMS）和质谱检测之前，利用了一维非极性柱和二维基于手性环糊精的柱的组合。最后，将所有数据汇总到一个统计模型中，以证明存在可用于对查获样本进行分类的有用参数。
