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Matrix removal in state of the art sample preparation methods for serum by charged aerosol detection and metabolomics-based LC-MS

机译:通过带电气溶胶检测和基于代谢组学的LC-MS,以最先进的血清样品制备方法去除基质

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Investigations into sample preparation procedures usually focus on analyte recovery with no information provided about the fate of other components of the sample (matrix). For many analyses, however, and particularly those using liquid chromatography-mass spectrometry (LC-MS), quantitative measurements are greatly influenced by sample matrix. Using the example of the drug amitriptyline and three of its metabolites in serum, we performed a comprehensive investigation of nine commonly used sample clean-up procedures in terms of their suitability for preparing serum samples. We were monitoring the undesired matrix compounds using a combination of charged aerosol detection (CAD), LC-CAD, and a metabolomics-based LC-MS/MS approach. In this way, we compared analyte recovery of protein precipitation-, liquid-liquid-, solid-phase-and hybrid solid-phase extraction methods. Although all methods provided acceptable recoveries, the highest recovery was obtained by protein precipitation with acetonitrile/formic acid (amitriptyline 113%, nortriptyline 92%, 10-hydroxyamitriptyline 89%, and amitriptyline N-oxide 96%). The quantification of matrix removal by LC-CAD showed that the solid phase extraction method (SPE) provided the lowest remaining matrix load (48-123 mu g mL(-1)), which is a 10-40 fold better matrix clean-up than the precipitation-or hybrid solid phase extraction methods. The metabolomics profiles of eleven compound classes, comprising 70 matrix compounds showed the trends of compound class removal for each sample preparation strategy. The collective data set of analyte recovery, matrix removal and matrix compound profile was used to assess the effectiveness of each sample preparation method. The best performance in matrix clean-up and practical handling of small sample volumes was showed by the SPE techniques, particularly HLB SPE. CAD proved to be an effective tool for revealing the considerable differences between the sample preparation methods. This detector can be used to follow matrix compound elution during chromatographic separations, and the facile monitoring of matrix signal can assist in avoiding unfavourable matrix effects on analyte quantification. (C) 2016 Elsevier B.V. All rights reserved.
机译:对样品制备程序的研究通常集中在分析物的回收上,而没有提供有关样品其他成分(基质)命运的信息。但是,对于许多分析,尤其是使用液相色谱-质谱(LC-MS)的分析,定量分析受样品基质的影响很大。以阿米替林及其在血清中的三种代谢物为例,我们就九种常用的样品净化程序在制备血清样品方面的适用性进行了全面研究。我们使用带电气溶胶检测(CAD),LC-CAD和基于代谢组学的LC-MS / MS方法的组合监测不需要的基质化合物。通过这种方式,我们比较了蛋白质沉淀,液相,液相,固相和混合固相萃取方法的分析物回收率。尽管所有方法均提供了可接受的回收率,但通过用乙腈/甲酸(阿米替林113%,去甲替林92%,10-羟基阿米替林89%和阿米替林N-氧化物96%)沉淀蛋白质可获得最高的回收率。 LC-CAD对基质去除的定量分析表明,固相萃取法(SPE)提供了最低的基质残留量(48-123μg mL(-1)),这是基质净化效果的10-40倍比沉淀或混合固相萃取方法要好。包括70种基质化合物在内的11种化合物类别的代谢组学概况显示了每种样品制备策略中化合物类别去除的趋势。使用分析物回收,基质去除和基质化合物概况的集体数据集来评估每种样品制备方法的有效性。 SPE技术(尤其是HLB SPE)在基质净化和小样品量的实际处理中表现出最佳性能。 CAD被证明是揭示样品制备方法之间巨大差异的有效工具。该检测器可用于在色谱分离过程中跟踪基质化合物的洗脱过程,而对基质信号的简便监控有助于避免基质对分析物定量的不利影响。 (C)2016 Elsevier B.V.保留所有权利。

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