Analytical-Chemistry Group, van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands; TI-COAST, Science Park 904, 1098 XH Amsterdam, The Netherlands.
RIKILT - Wageningen University & Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands.
Anal Chim Acta. 2018 Jul 12;1013:87-97. doi: 10.1016/j.aca.2017.12.043. Epub 2018 Jan 8.
In this study we describe an approach to enhance the sensitivity of an online comprehensive two-dimensional liquid chromatography (LC × LC) high-resolution mass spectrometry method for the separation and detection of trace levels of anabolic-steroid residues in complex urine matrices. Compared to one-dimensional liquid chromatography (1D-LC), LC × LC methods offer higher separation power, thanks to the combined effect of two different selectivities and a higher peak capacity. However, when using state-of-the-art LC × LC instrumentation, the price paid for the increase in separation power is a decrease in sensitivity and detectability of trace-level analytes. This can be ascribed to the sample dilution that takes place during each of the two chromatographic steps. The way in which fractions are collected and transferred from the first to the second column is also of paramount importance, especially the volume and the solvent composition of the fractions injected in the second column. To overcome the detection limitation, we present an active-modulation strategy, based on concentrating the fractions of the first-dimension effluent using a modulation interface that employs trap columns. We obtained a signal enhancement for anabolic-steroid compounds in a bovine-urine sample by a factor of 2.4-7.6 and an increase in the signal-to-noise ratio up to a factor of 7 in comparison with a standard loop-based modulation interface. In addition, thanks to the increased sensitivity of our method, a substantially larger number of peaks were detected (76 vs. 36). Moreover, we could reduce the solvent consumption by a factor of three (160 mL vs. 500 mL per run).
在本研究中,我们描述了一种方法,旨在提高在线二维液相色谱(LC×LC)高分辨质谱法分离和检测复杂尿液基质中痕量合成代谢类固醇残留的灵敏度。与一维液相色谱(1D-LC)相比,LC×LC 方法由于两种不同选择性的组合效应和更高的峰容量,提供了更高的分离能力。然而,当使用最先进的 LC×LC 仪器时,为提高分离能力而付出的代价是痕量分析物的灵敏度和检测能力下降。这可以归因于在两个色谱步骤中的每一步中发生的样品稀释。从第一根色谱柱到第二根色谱柱收集和转移馏分的方式也非常重要,特别是注入第二根色谱柱的馏分的体积和溶剂组成。为了克服检测限制,我们提出了一种基于主动调制策略,使用调制接口浓缩第一维馏分,该接口采用捕集柱。我们通过使用调制接口浓缩第一维馏分,使牛尿液样品中的合成代谢类固醇化合物的信号增强了 2.4-7.6 倍,并将信号与噪声的比值提高了 7 倍,与基于标准环的调制接口相比。此外,由于我们的方法灵敏度提高,检测到的峰数显著增加(76 个与 36 个相比)。此外,我们还可以将溶剂消耗减少三分之一(每次运行 160 毫升与 500 毫升相比)。