University of Wuppertal, Institute for Pure and Applied Mass Spectrometry (iPAMS), Gauss-Str. 20, 42119 Wuppertal, Germany.
J Chromatogr A. 2012 Jul 13;1246:69-75. doi: 10.1016/j.chroma.2012.02.038. Epub 2012 Feb 23.
In LC × LC the peak capacity (2D)n and the orthogonality O are often used as parameters of resolving power. Unfortunately, these parameters are not easily accessible from chromatograms. In this work we will present a novel method, based on the description as vectors of experimentally easily accessible data. This approach makes it possible to calculate separation space (peak distribution) in parallelograms and other more complex geometric patterns by describing a two dimensional area by vectors. The calculated separation space allows a comparison between several column combinations and is a useful tool in optimization of LC × LC analysis.
在 LC × LC 中,峰容量(2D)n 和正交性 O 通常被用作分辨率的参数。不幸的是,这些参数不容易从色谱图中获得。在这项工作中,我们将介绍一种新方法,该方法基于对实验上易于获得的数据的描述。这种方法通过用向量描述二维区域,使得在平行四边形和其他更复杂的几何图案中计算分离空间(峰分布)成为可能。计算出的分离空间允许对几种柱组合进行比较,并且是 LC × LC 分析优化的有用工具。