利用 LC-TIMS-TOF MS/MS 筛选芬太尼类似物。

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Andrew R Forero, Lilian Valadares Tose, Matthew Willetts, Melvin A Park, Elisa N Shoff, Francisco Fernandez-Lima
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引用次数: 0

摘要

近几十年来,芬太尼的使用和芬太尼类似物的出现日益引起整个社会的关注。在美国,芬太尼及其类似物是造成致命和非致命用药过量的主要原因。最近发生的大多数与芬太尼相关的用药过量病例都与非法制造的芬太尼及其相关的超强效力有关。在本研究中,我们介绍了一种用于筛选芬太尼类似物的高通量分析方案。通过使用互补液相色谱法、阱离子迁移谱法和串联质谱法,可在一次扫描中从单一样品中分离并分配数百种芬太尼类似物。所描述的方法利用了最近开发的数据依赖性采集和数据无关性采集技术,即先在迁移率阱中平行累积,然后利用碰撞诱导解离进行顺序碎裂。根据芬太尼类似物的保留时间、迁移率和质谱碎片模式,可以确定芬太尼类似物的归属。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fentanyl Analog Screening using LC-TIMS-TOF MS/MS.

The use of fentanyl and the emergence of fentanyl analogs over recent decades has become an increasing concern to the community at large. Fentanyl and its analogs are the major contributors to fatal and nonfatal overdoses in the United States. Most recent cases of fentanyl-related overdose are linked to illicitly manufactured fentanyl and its associated extreme potency. In the present work, we describe a high-throughput analytical protocol for the screening of fentanyl analogs. The use of complementary liquid chromatography, trapped ion mobility spectrometry, and tandem mass spectrometry allow for the separation and assignment of hundreds of fentanyl analogs from a single sample in a single scan. The described approach takes advantage of the recent development of data-dependent acquisition and data-independent acquisition using parallel accumulation in the mobility trap followed by sequential fragmentation using collision-induced dissociation. The fentanyl analogs are confidently assigned based on their retention time, mobility, and MS fragmentation pattern.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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