通过GC-MS对疑似电子烟油中的五种英达或英达胺合成大麻素进行定性和定量分析
Cui-Mei Liu1, Wei Jia1, Chun-Hui Song2
1Key Laboratory of Drug Monitoring and Control, Drug Intelligence and Forensic Center, Ministry of Public Security, Beijing 100193, China.
Fa yi xue za zhi
|November 25, 2023
概括
这项研究开发了一种GC-MS方法来检测合成大麻素,它们的矩阵和电子烟油中的添加剂. 该方法成功识别了五种合成大麻素和常见的添加剂,为这些物质提供了定量分析.
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:
- 电子烟 (e-cigarettes) 越来越受欢迎,引发了人们对合成大麻素和其他杂物存在的担忧.
- 准确的分析方法对于在电子烟油样本中识别和量化这些物质至关重要.
研究的目的:
- 建立和验证气色谱-质谱法 (GC-MS) 方法,用于对合成大麻素,其主要矩阵和电子烟油样本中的添加剂进行定性和定量分析.
主要方法:
- 在用甲醇稀释后,使用GC-MS分析了电子烟油样本.
- 定性分析涉及识别特征碎片离子和保留时间.
- 合成大麻素的定量分析使用选择性离子监测模式进行.
主要成果:
- GC-MS方法表现出良好的线性 (0.025-1 mg/mL),高矩阵回收 (94%-103%) 和出色的精度 (日内RSD<2.5%,日间RSD<4.0%).
- 在25个电子烟样本中检测到5种合成大麻素,其度在0.05%至2.74%之间.
- 确定了常见的矩阵 (甘,甘) 和添加剂 (WS-23,甘三酸盐,尼古丁).
结论:
- 开发的GC-MS方法具有选择性,具有高分辨率和低检测极限,可同时进行定性和定量分析.
- 了解碎片化机制有助于在法医调查中识别合成大麻素和结构相似的化合物.
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