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代谢组学样本的一维和二维高效液相色谱分析的实际分辨能力比较。

Comparison of the practical resolving power of one- and two-dimensional high-performance liquid chromatography analysis of metabolomic samples.

作者信息

Stoll Dwight R, Wang Xiaoli, Carr Peter W

机构信息

Department of Chemistry, University of Minnesota, Smith and Kolthoff Halls, 207 Pleasant Street SE, Minneapolis, Minnesota 55455, USA.

出版信息

Anal Chem. 2008 Jan 1;80(1):268-78. doi: 10.1021/ac701676b. Epub 2007 Dec 6.

Abstract

Two-dimensional liquid chromatography (2DLC) has become a mainstay of proteomics research due to its higher peak capacity compared to one-dimensional LC (1DLC). Because of the long analysis times typically associated with 2DLC (tens of hours) and its use primarily in proteomics applications, 2DLC in the context of general HPLC has been regarded as a niche technique for use in analysis of mixtures containing hundreds to thousands of components compared to the far more common techniques of isocratic and gradient elution 1DLC. A significant next step in the analytical development of 2DLC is to consider using its higher resolving power to reduce the analysis time of rather "simple" mixtures, in the range of only tens to hundreds of chemical constituents. The chief objective of this paper is to provide guidance to practitioners who need to decide whether 1DLC or 2DLC gives the superior separation in a given analysis time. Conditional peak capacities are predicted for fully optimized 1DLC and practical 2DLC separations of the low molecular weight constituents of an extract of corn seed at several analysis times using a model based on the chromatographic properties of compounds that are representative of real mixtures of lower molecular weight species. Two important corrections to the ideal 2DLC peak capacity are made to account for both incomplete usage of the separation space and the serious effect of first-dimension undersampling; this allows, we believe for the first time, a fair comparison of the resolving power of 1D- and 2DLC under realistic conditions. The predicted optimum conditions are then used to carry out experimental separations of low molecular weight corn seed extract, and peaks are counted in each 1D- and 2DLC chromatogram. Based on comparisons of both the predicted peak capacities and number of peaks observed in experimental chromatograms, we believe that practical 2DLC will be superior to fully optimized gradient 1DLC for separations lasting more than only about 10 min. This crossover time is much shorter than intuitively expected, and we believe this finding will inevitably have a major impact on the practice of 2DLC in liquid-phase separations in general.

摘要

二维液相色谱(2DLC)由于其与一维液相色谱(1DLC)相比具有更高的峰容量,已成为蛋白质组学研究的支柱。由于2DLC通常具有较长的分析时间(数十小时),且主要用于蛋白质组学应用,在常规高效液相色谱(HPLC)范畴内,与更为常见的等度洗脱和梯度洗脱1DLC技术相比,2DLC被视为一种用于分析含有数百至数千种组分混合物的小众技术。2DLC分析发展的一个重要的下一步是考虑利用其更高的分离能力来缩短对相当“简单”的混合物(仅含有数十至数百种化学成分)的分析时间。本文的主要目的是为需要决定在给定分析时间内1DLC还是2DLC能提供更优分离效果的从业者提供指导。使用基于代表低分子量物种实际混合物的化合物色谱特性的模型,预测了在几个分析时间下,玉米种子提取物低分子量成分的完全优化的1DLC和实际2DLC分离的条件峰容量。对理想的2DLC峰容量进行了两项重要修正,以考虑分离空间的不完全利用和一维欠采样的严重影响;我们认为,这首次使得在实际条件下对1DLC和2DLC的分离能力进行公平比较成为可能。然后,利用预测的最佳条件对低分子量玉米种子提取物进行实验分离,并对每个1DLC和2DLC色谱图中的峰进行计数。基于预测峰容量和实验色谱图中观察到的峰数的比较,我们认为对于持续时间超过约10分钟的分离,实际2DLC将优于完全优化的梯度1DLC。这个交叉时间比直观预期的要短得多,我们相信这一发现将不可避免地对液相分离中2DLC的实践产生重大影响。

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