Suppr超能文献

二维梯度液相色谱分离的优化

Optimization of two-dimensional gradient liquid chromatography separations.

作者信息

Cesla Petr, Hájek Tomás, Jandera Pavel

机构信息

Department of Analytical Chemistry, University of Pardubice, Pardubice, Czech Republic.

出版信息

J Chromatogr A. 2009 Apr 17;1216(16):3443-57. doi: 10.1016/j.chroma.2008.08.111. Epub 2008 Sep 4.

Abstract

An almost orthogonal comprehensive two-dimensional liquid chromatography was developed for the separation of phenolic and flavone natural antioxidants by using combinations of a polyethylene glycol silica micro-column in the first dimension and a porous-shell fused-core C18 column in the second dimension, both in the reversed-phase mode. System orthogonality was improved using parallel gradients of acetonitrile in buffered mobile phase. A new approach was proposed to optimize matching segmented gradient profiles in the two dimensions. An algorithm was developed for automatic corrections of the shifts in retention in the second dimension induced by the parallel two-dimensional gradient operation technique. Using the porous-shell C18 column in the second dimension at elevated temperature (60 degrees C) and high pressure (480 bar) with optimized segmented profiles of the parallel gradients in the two dimensions, the overall separation time for comprehensive LC x LC was reduced to 30 min.

摘要

开发了一种几乎正交的全二维液相色谱法,用于分离酚类和黄酮类天然抗氧化剂。该方法在反相模式下,第一维使用聚乙二醇硅胶微柱,第二维使用多孔壳熔融核C18柱。通过在缓冲流动相中使用乙腈的平行梯度来提高系统正交性。提出了一种新方法来优化二维中匹配的分段梯度曲线。开发了一种算法,用于自动校正由平行二维梯度操作技术引起的第二维保留时间的偏移。在第二维中使用多孔壳C18柱,在高温(60℃)和高压(480 bar)下,并采用二维中优化的平行梯度分段曲线,全二维液相色谱的总分离时间缩短至30分钟。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验