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SWATH data independent acquisition mass spectrometry for screening of xenobiotics in biological fluids: Opportunities and challenges for data processing

机译:SWATH数据无关采集质谱,用于筛选生物流体中的异虫病:数据处理的机会和挑战

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SWATH data independent acquisition (DIA) mass spectrometry (MS) has become an established technique in MS-based 'omits' research and is increasingly used for the screening of xenobiotics (e.g. drugs, drug metabolites, pesticides, toxicants). Such xenobiotic screening methods are mostly applied for tentative compound identification purposes based on spectral library searching, while additional data processing techniques are scarcely used thereby leaving the full potential of these methods often unused. Here we present an analytical workflow for screening xenobiotics in human samples using SWATH/MS based on which we highlight opportunities for unlocking unused potential of these methods. The workflow was applied to urine samples from subjects who tested positive for THC and/or cocaine during roadside drug testing with the goal of confirming the positive roadside drug tests and identifying compounds that relate to illicit drug use (e.g. cutting agents, tobacco components) or associate with corresponding lifestyle choices (e.g. nasal decongestants, painkillers). These goals could only be reached by complementing spectral library search procedures with additional multivariate data analyses due to inherent incompleteness of the spectral library that was employed. Such incompleteness represents a common challenge for applications where limited or no metadata is available for study samples, for example in toxicology, doping control in sports, and workplace or roadside drug testing. It furthermore sets the stage for employing additional data processing techniques as is outlined in the presented work.
机译:SWATH数据独立采集(DIA)质谱(MS)已成为MS的基于MS的“省略的研究中的建立技术,并且越来越多地用于筛查异种症(例如药物,药物代谢物,农药,毒物)。这种Xenobiotic筛选方法主要用于基于光谱库搜索的暂定复合识别目的,而几乎没有使用额外的数据处理技术,从而留下这些方法的全部潜力经常未使用。在这里,我们提供了一种分析工作流程,用于使用SWATH / MS筛选人类样品中的异虫病,我们突出了解锁这些方法的未使用潜力的机会。在路边药物测试期间将工作流程从检测到THC和/或可卡因阳性的受试者的尿液样本,其目的是确认正路旁药物测试和鉴定与非法药物使用的化合物(例如切割剂,烟草组分)或与相应的生活方式选择相关联(例如鼻脏患者,止痛药)。只有通过补充具有额外多变量数据分析的频谱库搜索过程,才能达到这些目标,这是由于所采用的光谱库的固有不完整性。这种不完整是针对研究样本可用于研究样本的应用的常见挑战,例如毒理学,运动中的兴奋剂和工作场所或路边药物测试。此外,它设置了采用额外的数据处理技术的阶段,如所示工作中所述。

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