Kinetic plot method as a tool to design coupled column systems producing 100,000 theoretical plates in the shortest possible time
Kinetic plot method as a tool to design coupled column systems producing 100,000 theoretical plates in the shortest possible time
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DOI：
10.1016/j.chroma.2008.09.106
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发表时间：
2008-11-28
影响因子：
4.1
通讯作者：
Desmet, Gert
中科院分区：
文献类型：
--
作者：
Cabooter, Deirdre;Lestremau, Francois;Desmet, Gert
本论文报告了使用动力学图方法（KPM）选择和设计最佳系统的可能性，以实现给定数量（100,000）的药物试验混合物理论板，使用从一系列单柱性能测量中获得的信息，在三种不同的温度下，以乙腈和0.1%甲酸水溶液的混合物为流动相，进行亚2 μ m和超2 μ m多孔壳颗粒的测量。由于KPM涉及到不同柱长度的外推，因此设计的质量随后通过耦合几个柱来验证，以获得最佳的总柱长度，并在计算的最佳流量下运行实际分析。预测误差一般在10%以上，对停留时间t(R)和N的预测略好于对停留时间t(R)的预测。sub-2 μ m和多孔壳颗粒耦合柱系统几乎同样快地达到100,000个板，尽管前者在1000 bar下使用，后者仅在600 bar下使用。在这两种情况下，高温操作（80℃）产生了最快的分离，允许在k'=2.5下仅在约15分钟内达到100,000个板的组件洗脱。(C) 2008 Elsevier B.V.版权所有
The present paper reports on the possibility to use the kinetic plot method (KPM) to select and design the best possible system to achieve a given number (100,000) of theoretical plates for a pharmaceutical test mixture, using the information obtained from a series of single Column performance measurements of sub-2 mu m and supra-2 mu m porous shell particles conducted at three different temperatures and using mixtures of acetonitrile and 0.1% formic acid in water as the mobile phase. Because the KPM involves an extrapolation to different column lengths, the quality of the design was subsequently verified by coupling several columns to achieve the optimal total column length and run the actual analysis at the calculated optimal flow rate. The prediction error was generally better than 10%, with a slightly better prediction for to and N than for the retention time t(R). The sub-2 mu m and the porous shell particle coupled column systems achieve the 100,000 plates about equally fast, despite the fact that the former were used at 1000 bar and the latter only at 600 bar. The high temperature Operation (80 degrees C) yielded the fastest separation in both cases, allowing to reach 100,000 plates for a component eluting at k'=2.5 in only about 15 min. (C) 2008 Elsevier B.V. All rights reserved.