Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Mathematical Analysis and Modeling Group, Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
J Forensic Sci. 2023 Sep;68(5):1494-1503. doi: 10.1111/1556-4029.15322. Epub 2023 Jul 11.
Fentanyl analogs are a class of designer drugs that are particularly challenging to unambiguously identify due to the mass spectral and retention time similarities of unique compounds. In this paper, we use agglomerative hierarchical clustering to explore the measurement diversity of fentanyl analogs and better understand the challenge of unambiguous identifications using analytical techniques traditionally available to drug chemists. We consider four measurements in particular: gas chromatography retention indices, electron ionization mass spectra, electrospray ionization tandem mass spectra, and direct analysis in real time mass spectra. Our analysis demonstrates how simultaneously considering data from multiple measurement techniques increases the observable measurement diversity of fentanyl analogs, which can reduce identification ambiguity. This paper further supports the use of multiple analytical techniques to identify fentanyl analogs (among other substances), as is recommended by the Scientific Working Group for the Analysis of Seized Drugs (SWGDRUG).
芬太尼类似物是一类设计毒品,由于独特化合物的质谱和保留时间相似,因此很难明确识别。在本文中,我们使用凝聚层次聚类来探索芬太尼类似物的测量多样性,并更好地理解使用传统上可供药物化学家使用的分析技术进行明确识别的挑战。我们特别考虑了四个测量值:气相色谱保留指数、电子电离质谱、电喷雾电离串联质谱和实时直接分析质谱。我们的分析表明,同时考虑来自多种测量技术的数据如何增加芬太尼类似物的可观察测量多样性,从而减少识别的模糊性。本文进一步支持使用多种分析技术来识别芬太尼类似物(以及其他物质),这是缉毒科学工作组(SWGDRUG)所建议的。