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Improving LC-MS sensitivity through increases in chromatographic performance: Comparisons of UPLC-ES/MS/MS to HPLC-ES/MS/MS

机译:通过提高色谱性能来提高LC-MS灵敏度:UPLC-ES / MS / MS与HPLC-ES / MS / MS的比较

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Recent technological advances have made available reverse phase chromatographic media with a 1.7 mu m particle size along with a liquid handling system that can operate such columns at much higher pressures. This technology, termed ultra performance liquid chromatography (UPLC), offers significant theoretical advantages in resolution, speed, and sensitivity for analytical determinations, particularly when coupled with mass spectrometers capable of high-speed acquisitions. This paper explores the differences in LC-MS performance by conducting a side-by-side comparison of UPLC for several methods previously optimized for HPLC-based separation and quantification of multiple analytes with maximum throughput. In general, UPLC produced significant improvements in method sensitivity, speed, and resolution. Sensitivity increases with UPLC, which were found to be analyte-dependent, were as large as 10-fold and improvements in method speed were as large as 5-fold under conditions of comparable peak separations. Improvements in chromatographic resolution with UPLC were apparent from generally narrower peak widths and from a separation of diastereomers not possible using HPLC. Overall, the improvements in LC-MS method sensitivity, speed, and resolution provided by UPLC show that further advances can be made in analytical methodology to add significant value to hypothesis-driven research. (c) 2005 Elsevier B.V. All rights reserved.
机译:最近的技术进步已经提供了粒径为1.7μm的反相色谱介质以及可以在更高压力下操作此类色谱柱的液体处理系统。这项被称为超高效液相色谱(UPLC)的技术在分析测定的分辨率,速度和灵敏度方面提供了显着的理论优势,特别是与可进行高速采集的质谱仪结合使用时。本文通过对先前优化用于基于HPLC的分离和定量分析多种分析物的方法进行了UPLC的并排比较,探索了LC-MS性能的差异,并以最大的通量进行了分析。通常,UPLC在方法灵敏度,速度和分辨率方面均取得了显着改善。在相当的峰分离条件下,UPLC的灵敏度增加高达10倍,而方法速度的提高则高达5倍。通过通常较窄的峰宽和使用HPLC无法实现的非对映异构体的分离,可以明显看出UPLC色谱分离度的提高。总体而言,UPLC在LC-MS方法灵敏度,速度和分辨率方面的改进表明,分析方法可以取得进一步进展,从而为假设驱动的研究增加重要价值。 (c)2005 Elsevier B.V.保留所有权利。

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