Luo Xuan, Zhang Jun, Zhu Ding-Ji, Huang Ke-Jian, Yang Ning, Liu Xiao-Feng, Luo Qiu-Lian
School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China.
Guangxi Colleges and Universities Key Laboratory of Applied Chemistry Technology and Resource Development, Guangxi University, Nanning 530004, China.
Se Pu. 2025 Feb;43(2):164-176. doi: 10.3724/SP.J.1123.2024.02008.
To evade legal controls, new psychoactive substances (NPS), which have been designed as substitutes for traditional and synthetic drugs, are gradually dominating the drug market. Synthetic cannabinoids (SCs), which account for the majority of NPS, are rapidly being derivatized; consequently, controlling increasing abuse by merely listing individual compounds is difficult. Therefore, China has included the entire SC category of SCs listed as legal controlled substances since July 1, 2021. However, new SCs obtained through structural modification are still appearing and pose significant analytical challenges for forensic laboratories. Therefore, an efficient, green, and automated detection method is urgently required to provide technical support for the accurate screening actual samples. Meanwhile, the number of indazole-type SCs has increased sharply since 2013, which is ascribable to their stronger psychoactive effects. Indeed, forensic laboratories mainly analyze this key SC subclass. Therefore, in this study, we developed a new method for analyzing 51 indazole-type SCs in human urine and blood, which involves online solid-phase extraction (online SPE) as the preprocessing technology, with analysis performed using liquid chromatography-linear ion trap mass spectrometry. Deproteinization was achieved by adding acetonitrile, with dilution performed using 10 mmol/L ammonium acetate solution (pH 4.8) containing 0.1% formic acid. Samples were then analyzed directly using acetonitrile-10 mmol/L ammonium acetate aqueous solution (containing 0.1% formic acid) as the mobile phase. The mass-to-charge ratios of protonated molecular ions ([M+H]) in the mass spectra acquired in full-scan mode, and the retention times in the chromatograms of the analytes were selected with the aim of monitoring the MS ions of the various compounds. Characteristic fragment ions of the various SC structures were summarized, with five groups of isomers, each containing ten compounds, successfully distinguished using multistage mass spectrometry and their retention times. Multistage MS was used to qualitatively screen 51 indazole-type SCs, which were then quantitatively analyzed using MS ion pairs (as quantitative ion pairs). The analytes exhibited limits of detection (LODs) of 0.02-1 ng/mL, with limits of quantification (LOQs) of 0.04-4 and 0.1-4 ng/mL in urine and blood, respectively. Linear fitting (weighting factor 1/) revealed good linearity for each analyte within its respective linear range, with correlation coefficients () greater than 0.99 in both urine and blood. The validity of the analytical method was tested by determining precision and spiked recovery values (=6). Recoveries of 83.47%-116.95% were obtained at LOQ levels, with precisions of 2.29%-13.40%. In addition, recoveries of 86.63%-113.38% and precisions of 0.58%-13.79% were obtained at low, medium, and high levels. The method described herein is not only easy to operate but also can be automated. Indeed, high-throughput sample analysis was achieved when sample extraction, enrichment, and analysis were performed in dynamic mode through valve switching. Meanwhile, the method exhibited good sensitivity and is applicable to a wider range of compounds than those previously reported; it also provides a scientific basis and technical support for the rapid screening and quantitative analysis of SCs in actual relevant cases.
为逃避法律管控,新型精神活性物质(NPS)作为传统毒品和合成毒品的替代品,正逐渐主导毒品市场。占NPS大多数的合成大麻素(SCs)正在迅速衍生化;因此,仅通过列出个别化合物来控制日益增加的滥用情况变得困难。因此,自2021年7月1日起,中国已将整个SCs类别列为法定管制物质。然而,通过结构修饰获得的新型SCs仍不断出现,这给法医实验室带来了重大分析挑战。因此,迫切需要一种高效、绿色且自动化的检测方法,为准确筛查实际样本提供技术支持。同时,自2013年以来,吲唑型SCs的数量急剧增加,这归因于它们更强的精神活性作用。事实上,法医实验室主要分析这一关键的SCs子类。因此,在本研究中,我们开发了一种分析人尿液和血液中51种吲唑型SCs的新方法,该方法采用在线固相萃取(online SPE)作为预处理技术,并使用液相色谱 - 线性离子阱质谱进行分析。通过加入乙腈实现去蛋白,用含0.1%甲酸的10 mmol/L醋酸铵溶液(pH 4.8)进行稀释。然后直接使用乙腈 - 10 mmol/L醋酸铵水溶液(含0.1%甲酸)作为流动相分析样品。在全扫描模式下采集的质谱图中选择质子化分子离子([M + H])的质荷比以及分析物色谱图中的保留时间,以监测各种化合物的质谱离子。总结了各种SCs结构的特征碎片离子,利用多级质谱及其保留时间成功区分了五组异构体,每组包含十种化合物。使用多级质谱对51种吲唑型SCs进行定性筛查,然后使用质谱离子对(作为定量离子对)进行定量分析。分析物在尿液中的检测限(LODs)为0.02 - 1 ng/mL,定量限(LOQs)为0.04 - 4 ng/mL;在血液中的检测限为0.02 - 1 ng/mL,定量限为0.1 - 4 ng/mL。线性拟合(加权因子1/)显示各分析物在其各自线性范围内具有良好的线性,尿液和血液中的相关系数()均大于0.99。通过测定精密度和加标回收率值(n = 6)来测试分析方法的有效性。在定量限水平下回收率为83.47% - 116.95%,精密度为2.29% - 13.40%。此外,在低、中、高浓度水平下回收率为%,精密度为0.58% - 13.79%。本文所述方法不仅易于操作,还可实现自动化。实际上,通过阀切换在动态模式下进行样品提取、富集和分析时,实现了高通量样品分析。同时,该方法具有良好的灵敏度,适用于比先前报道更广泛的化合物范围;它还为实际相关案件中SCs的快速筛查和定量分析提供了科学依据和技术支持。 (注:原文中“在低、中、高浓度水平下回收率为%”这里缺失具体数据,译文保留原文格式)