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首页> 外文期刊>International Journal for Ion Mobility Spectrometry >Resolving the microcosmos of complex samples: UPLC/travelling wave ion mobility separation high resolution mass spectrometry for the analysis of in vivo drug metabolism studies
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Resolving the microcosmos of complex samples: UPLC/travelling wave ion mobility separation high resolution mass spectrometry for the analysis of in vivo drug metabolism studies

机译:解决复杂样品的缩影:UPLC /行波离子迁移率分离高分辨质谱用于分析体内药物代谢研究

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In vivo drug metabolism studies with low concentrations of analytes and high matrix burden are challenging. Of special interest are ‘first-in-man’ studies in early stages of pharmaceutical development that do not use 14C labeled drug candidates. Beside conventional MS-fishing techniques which are biased towards known/expected metabolites and mass defect filtration procedures, this paper focuses on the untargeted/unbiased analysis of drug related compounds in complex matrices using two orthogonal separation techniques: UPLC and TWIMS. Standard sample material after oral administration of a drug compound to rats was investigated by UPLC/TWIMS in MSE acquisition mode using interlaced collision energies for the parallel detection of [M+H]+ parent ions and fragments. Due to the fragmentation after ion mobility separation in the transfer region of the Synapt G2-triwave device, [M+H]+ ion species are aligned with their related fragments by virtue of possessing the same retention time and drift time profile. Four dimensional data analysis of the continuum raw data was performed by automated peak picking and alignment within the MSE viewer software. As result, completely purified MS- and MS/MS-data of metabolites were extracted from raw mass data with high matrix burden and were used without compromise for structure elucidation. This analytical methodology is universally applicable for the unbiased/untargeted and robust analysis of any analyte of interest in complex matrices, including small molecules, peptides and proteins. The high quality data files can be used as data repositories for the purpose of retrospective analysis which is of particular interest for the long term process in drug development.
机译:低分析物浓度和高基质负担的体内药物代谢研究具有挑战性。特别感兴趣的是在药物开发的早期阶段进行的“第一人称”研究,这些研究不使用14C标记的候选药物。除了偏向已知/预期代谢物和质量缺陷过滤程序的常规MS捕捞技术外,本文还将重点介绍使用两种正交分离技术(UPLC和TWIMS)对复杂基质中药物相关化合物的无目标/无偏分析。通过UPLC / TWIMS在MSE采集模式下使用隔行碰撞能量对[M + H] +母离子和碎片进行平行检测,通过UPLC / TWIMS对大鼠口服药物后的标准样品材料进行了研究。由于在Synapt G2-triwave装置的转移区域中发生离子迁移分离后的碎裂,[M + H] +离子种类由于具有相同的保留时间和漂移时间曲线而与其相关碎片对齐。对连续原始数据的四维数据分析是通过MSE查看器软件中的自动峰选择和对齐进行的。结果,从具有高基质负担的原始质量数据中提取了代谢产物的完全纯化的MS-和MS / MS-数据,并在不影响结构解析的情况下使用了该数据。这种分析方法普遍适用于复杂基质(包括小分子,肽和蛋白质)中任何目标分析物的无偏/无目标且鲁棒的分析。高质量的数据文件可用作回顾性分析目的的数据存储库,这对于药物开发的长期过程尤为重要。

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