Research Institute for Pesticides and Water, University Jaume I, Avda Sos Baynat s/n, 12071, Castellón, Spain.
Anal Bioanal Chem. 2018 Aug;410(21):5107-5112. doi: 10.1007/s00216-018-1182-8. Epub 2018 Jun 16.
Synthetic cannabinoids (SCs) are consumed as legal alternative to cannabis and often allow passing drug-screening tests. Their rapid transience on the drug scene, combined with their mostly unknown metabolic profiles, creates a scenario with constantly moving analytical targets, making their monitoring and identification challenging. The development of fast screening strategies for SCs, not directly focused on their chemical structure, as an alternative to the commonly applied target acquisition methods, would be highly appreciated in forensic and public health laboratories. An innovative untargeted metabolomics approach, focused on herbal components commonly used for 'spice' products, was applied. Saliva samples of healthy volunteers were collected at pre-dose and after smoking herbal components and analysed by high-resolution mass spectrometry. The data obtained, combined with appropriate statistical analysis, allowed to highlight and elucidate two markers (scopoletin and N,N-bis(2-hydroxyethyl)dodecylamine), which ratio permitted to differentiate herbal smokers from non-smokers. The proposed strategy will allow discriminating potential positives, on the basis of the analysis of two markers identified in the herbal blends. This work is presented as a step forward in SC drug testing, promoting a smart first-line screening approach, which will allow reducing the number of samples to be further investigated by more sophisticated HRMS methods. Graphical abstract The development of an alternative, generic screening methods of synthetic cannabinoids, not directly based on the chemical structure, in order to provide fast response on its potential consumption.
合成大麻素(SCs)被用作大麻的合法替代品,且常可逃避药物筛查检测。它们在毒品市场上迅速消失,同时代谢途径大多未知,这导致分析靶点不断变化,给监测和识别工作带来了挑战。因此,开发一种快速筛选 SC 的策略(不直接针对其化学结构),作为常用目标获取方法的替代方法,在法医和公共卫生实验室中是非常需要的。本研究采用了一种创新的非靶向代谢组学方法,重点关注常用于“香料”产品的草药成分。收集健康志愿者在用药前和吸食草药成分后的唾液样本,并通过高分辨率质谱进行分析。结合适当的统计分析,获得的数据可以突出并阐明两个标志物(东莨菪内酯和 N,N-双(2-羟乙基)十二烷基胺),它们的比值可以区分草药吸食者和非吸食者。所提出的策略将允许基于在草药混合物中鉴定的两个标志物来区分潜在阳性结果。这项工作是 SC 药物检测向前迈出的一步,促进了一种智能的一线筛选方法,该方法将减少需要进一步通过更复杂的高分辨率 MS 方法进行调查的样本数量。