在非法阿片类药物样本中检测滥用药物的痕迹,使用表面增强的拉曼散射和随机森林分类
Rebecca R Martens1, Lea Gozdzialski1, Ella Newman1
1Department of Chemistry, University of Victoria, Victoria, British Columbia V8W 3V6, Canada.
Analytical chemistry
|July 17, 2024
概括
表面增强的拉曼光谱 (SERS) 可以检测街头阿片类药物中的常见镇静剂,如布罗马佐拉姆和西拉. 这种降低危害的技术为分析复杂药物样本提供了一个可行的护理点解决方案.
科学领域:
- 分析化学 分析化学
- 法医科学 法医科学 法医科学
- 公共卫生 公共卫生
背景情况:
- 非法药物供应的变化需要药物检查以减少危害.
- 社区的药物检查需要快速的,即时的分析方法.
- 传统方法可能缺乏社区环境的敏感性或速度.
研究的目的:
- 为了评估表面增强的拉曼光谱法 (SERS) 与随机森林分类器相结合,用于检测街头阿片样本中的杂物.
- 评估SERS与质谱学和红外光谱学对比的性能,以检测微量 adulterant.
- 为了证明SERS对医疗保健点药物检查服务的可行性.
主要方法:
- 用表面增强的拉曼光谱法 (SERS) 来进行光谱采集.
- 开发了一个随机森林分类器来分析SERS数据.
- 样品使用SERS和质谱学进行分析以进行比较.
- 红外光谱学也被用来比较SERS的性能.
主要成果:
- 在街头阿片类药物样本中,SERS成功检测出布罗马佐拉姆 (0.32-36%w/w) 和西拉 (0.15-15%w/w).
- 获得了高特异性 (88%布罗马佐兰,96%西拉) 和灵敏性 (88%布罗马佐兰,92%西拉).
- 对于测试的样品,SERS的性能超过了红外光谱的性能.
结论:
- 与随机森林分类器相结合的SERS是一种可行的技术,用于在复杂的阿片类药物样本中检测伪造物.
- 这种方法提供了高精度,超过了红外光谱的性能.
- 对于社区的药物检查和减少危害的努力来说,SERS是一个有前途的工具.
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