[通过超高性能液态染色学在电子烟油中同时确定五种基于胺的合成大麻素]
Zhe Yang1, Jian-Xia Lyu1, Yi-di Wu1
1National Anti-Drug Laboratory Beijing Regional Center, Beijing 100164, China.
Se pu = Chinese journal of chromatography
|June 30, 2023
概括
一种新的超高性能液态色谱 (UPLC) 方法准确量化了电子烟油中的五种合成大麻素 (SC). 这种快速而敏感的技术对于识别被扣押材料中的这些强效物质至关重要.
科学领域:
- 法医化学 法医化学
- 分析化学 分析化学
- 毒理学 毒理学 毒理学
背景情况:
- 合成大麻素 (SCs) 是一种强烈的精神活性物质,新的变体正在迅速出现.
- 现有的检测方法难以跟上SCs的化学多样性和快速演变.
- 准确量化被扣押材料中的SCs,如电子烟油,对于公共卫生和执法至关重要.
研究的目的:
- 开发和验证一种快速,灵敏和准确的超高性能液态染色法 (UPLC) 方法,用于同时确定五种特定的基于胺的醇/胺SCs.
- 为了应对在复杂的矩阵中识别和量化新出现的SCs的挑战,如电子烟油.
主要方法:
- 一个UPLC方法是使用一个水域水分UPLC CSH C18列开发的.
- 优化移动相,化梯度,柱体温度和检测波长 (290和302纳米).
- 量化是在样品的甲醇提取后使用外部标准方法进行的.
主要成果:
- 该方法在10分钟内实现了五个目标SC (ADB-BUTINACA,4F-MDMB-BUTICA,5F-MDMB-PICA,MDMB-4en-PINACA,4F-ABUTINACA) 的完全分离.
- 对于1-100 mg/L之间的度,观察到非常好的线性 (r2高达0.9999).
- 该方法表现出高灵敏度 (LOD 0.2 mg/L,LOQ 0.6 mg/L),精度 (<2.2%日间) 和准确性 (95.5%-101.9%的恢复).
结论:
- 开发的UPLC方法是准确的,快速的,灵敏的,有效的,用于量化电子烟油中的五种英多尔/英达胺基SCs.
- 这种方法符合实际的确定要求,并作为分析类似的SCs的宝贵参考.
- 这些发现支持了对先进分析技术的需求,以应对新型精神活性物质不断变化的威胁.
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