查获样本的大麻概况:使用气体染色学-质谱学概况和多变量数据分析进行的内部位置变异性研究
Amorn Slosse1,2, Filip Van Durme2, Nele Samyn2
1Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Drug testing and analysis
|September 11, 2023
概括
使用气体染色体质谱法 (GC-MS) 进行非法大麻分析,通过日志转换数据预处理显著改善. 然而,假阳性率仍然太高,无法获得可靠的法庭辩护.
科学领域:
- 法医科学 法医科学 法医科学
- 分析化学 分析化学
- 药理学是指药理学,即药理学是指药理学.
背景情况:
- 大麻是一种在全球范围内被扣押的毒品,因此需要对司法调查进行可靠的分析.
- 大麻的自然异质性使得查获的草本材料的准确比较变得复杂.
- 气色谱-质谱法 (GC-MS) 用于大麻素分析.
研究的目的:
- 评估数据预处理方法在减少非法大麻分析过程中虚假阳性 (FPs) 的有效性.
- 建立决策值,以根据大麻素特征对扣押的大麻样品进行比较.
- 评估大麻种植地点内和之间存在的变化.
主要方法:
- 气色谱-质谱法 (GC-MS) 用于生成大麻素特征.
- 皮尔森相关系数和置信限值 (95%和99%) 应用于内部位置样本.
- 调查日志转换作为数据预处理方法,以尽量减少FP率.
- 构建了所有被扣押样本的综合数据矩阵,以提高模型的代表性.
主要成果:
- 与内部标准规范化相比,日志转换预处理显著降低了FP率.
- 最初的数据集 (97个样本) 显示FP从38%/45%减少到17%/22%.
- 结合数据集 (所有样本) 与日志转换,FP率从58%/64%提高到21%/26%.
结论:
- 数据预处理,特别是日志转换,大大提高了区分被扣押的大麻样品的能力.
- 尽管有所改善,但目前的FP率还不够低,无法获得最终的法律辩护.
- 需要进一步完善分析方法,才能实现法律上可辩护的大麻分析.
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