优化的机器学习方法将表面增强的拉曼散射和红外数据结合起来,用于在非法阿片类药物中检测西拉的痕迹

Rebecca R Martens1, Lea Gozdzialski1, Ella Newman1

  • 1Department of Chemistry, University of Victoria, Victoria, British Columbia, V8W 3V6, Canada. dkhore@uvic.ca.

The Analyst
|January 21, 2025
PubMed
概括

结合红外吸收光谱和使用数据融合的表面增强拉曼光谱,可以显著改善非法阿片类药物中西拉的检测. 高级融合与随机森林分类实现了96%的灵敏度,用于准确的护理点分析.

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