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LMJSSP用于分析预防性滑剂,杀精剂和残留物
Jessie F Deng1, Haidy Metwally1, Rachel L Theriault2
1Department of Chemistry, Queen's University, Kingston Ontario, K7L 3N6, Canada.
现在可以使用环境电离来对织物上的避孕套滑剂进行法医分析. 这种方法与机器学习相结合,可以区分安全套品牌,帮助性侵犯调查.
科学领域:
- 法医科学 法医科学 法医科学
- 分析化学 分析化学
- 机器学习 机器学习
背景情况:
- 越来越多的避孕套使用在性侵犯案件中复杂化了DNA证据的收集.
- 替代的法医标记物,如避孕套滑剂和残留物,正受到越来越多的关注.
- 滑剂的传统分析方法需要大量的样本准备,并且具有破坏性.
研究的目的:
- 开发和验证用于分析避孕套滑剂痕迹的直接环境电离方法.
- 为了评估滑油分析的灵敏度和储存稳定性,对各种类型的拭子进行分析.
- 用机器学习算法对滑剂残留数据进行区分,以区分安全套品牌.
主要方法:
- 使用液体微连接表面采样探头 (LMJSSP) 进行直接环境电离分析.
- 分析了滑剂转移到棉花,棉花棉花和牛仔布上.
- 在不同的储存条件下对棉花,和泡抹布进行了滑剂分析.
- 应用主要组件分析 (PCA) 和最大崩的度量学习 (MCML) 用于数据分析.
主要成果:
- 成功分析了对不同类型的织物转移的微量避孕套滑剂.
- 确定最佳的灵敏度和储存条件,用于直接分析滑油剂在拭子上.
- 机器学习算法根据滑剂配置文件有效地区分了DurexTM和TrojanTM避孕套品牌.
结论:
- LMJSSP环境电离技术为分析避孕套滑剂提供了一种灵敏,快速和非破坏性的方法.
- 这种方法与机器学习相结合,增强了性侵犯调查的法医工作流程.
- 对避孕套滑剂的直接分析为传统的DNA证据提供了一种可行的替代或补充方法.
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