在这项工作中,我们重点研究了5647个涵盖大麻的街道样本的轮廓,常见和新型娱乐性非法药物。使用气相色谱-质谱(GC-MS)技术分析所有样品。我们总共确定了53种含有Δ-9-四氢大麻酚(THC)的非法药物,安非他明,N-乙基己酮,3,4-亚甲二氧基甲基苯丙胺(MDMA),4-氯甲基卡西酮(4-CMC),α-吡咯烷并异己酮(α-PHiP),可卡因,和最常见的4-氯乙酮(4-CEC),占总研究池的38.5、17.8、15.5、8.0、3.5、2.7、2.1和2.0%,分别。除了美沙酮,所有分析过的街头样本都加标了至少一种切割剂。咖啡因是分析样品中约33%(不包括大麻)中最常见的掺假添加剂。其他确定的切割剂使160多种化合物令人印象深刻。最后,我们已经制表了,插图,并讨论了智能和便携式传感器发展的数据。
In this work, we have focused on the profiling of 5647 street samples covering marijuana, common and new recreational illicit drugs. All samples were analyzed using gas chromatography-mass spectrometry (GC-MS) technique. In total we have identified 53 illicit drugs with Δ-9-tetrahydrocannabinol (THC), amphetamine, N-ethylhexedrone, 3,4-methylenedioxy methamphetamine (MDMA), 4-chloromethcathinone (4-CMC), α-pyrrolidinoisohexaphenone (α-PHiP), cocaine, and 4-chloroethcathinone (4-CEC) being most commonly found and making 38.5, 17.8, 15.5, 8.0, 3.5, 2.7, 2.1, and 2.0% of the total studied pool, respectively. Except for methadone, all analyzed street samples were spiked with at least one cutting agent. Caffeine was the most frequently found adulterating addition present in around 33% (excluding marijuana) of the analyzed samples. Other identified cutting agents make an impressive group of more than 160 compounds. Finally, we have tabulated, illustrated, and discussed presented data in a view of smart and portable
sensors development.