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Metabolomic database annotations via query of elemental compositions: Mass accuracy is insufficient even at less than 1 ppm

机译:通过查询元素组成的代谢组学数据库注解:即使低于1 ppm质量准确性也不足

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摘要

BackgroundMetabolomic studies are targeted at identifying and quantifying all metabolites in a given biological context. Among the tools used for metabolomic research, mass spectrometry is one of the most powerful tools. However, metabolomics by mass spectrometry always reveals a high number of unknown compounds which complicate in depth mechanistic or biochemical understanding. In principle, mass spectrometry can be utilized within strategies of de novo structure elucidation of small molecules, starting with the computation of the elemental composition of an unknown metabolite using accurate masses with errors <5 ppm (parts per million). However even with very high mass accuracy (<1 ppm) many chemically possible formulae are obtained in higher mass regions. In automatic routines an additional orthogonal filter therefore needs to be applied in order to reduce the number of potential elemental compositions. This report demonstrates the necessity of isotope abundance information by mathematical confirmation of the concept.
机译:背景代谢组学研究旨在确定和量化给定生物学背景下的所有代谢产物。在用于代谢组学研究的工具中,质谱分析是最强大的工具之一。然而,通过质谱法进行的代谢组学研究始终揭示出大量未知的化合物,这些化合物使深入的机理或生化理解变得复杂。原则上,可以在小分子从头阐明结构的策略中利用质谱,从使用误差小于5 ppm(百万分之几)的精确质量计算未知代谢物的元素组成开始。但是,即使具有非常高的质量准确度(<1 ppm),在较高质量的区域中仍可获得许多化学上可能的化学式。因此,在自动程序中,需要使用一个附加的正交滤波器,以减少潜在元素组成的数量。该报告通过数学确认该概念证明了同位素丰度信息的必要性。

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