首页 | 本学科首页   官方微博 | 高级检索  
     检索      


The impact of sampling time on peak capacity and analysis speed in on-line comprehensive two-dimensional liquid chromatography
Authors:Lawrence W Potts  Dwight R Stoll  Xiaoping Li  Peter W Carr
Institution:1. Department of Chemistry, Gustavus Adolphus College, 800 West College Avenue, Saint Peter, MN 56082, USA;2. Department of Chemistry, University of Minnesota, 207 Pleasant St., S.E., Minneapolis, MN 55455, USA
Abstract:Comprehensive two-dimensional liquid chromatography (2DLC) offers a number of practical advantages over optimized one-dimensional LC in peak capacity and thus in resolving power. The traditional “product rule” for overall peak capacity for a 2DLC system significantly overestimates peak capacity because it neglects under-sampling of the first dimension separation. Here we expand on previous work by more closely examining the effects of the first dimension peak capacity and gradient time, and the second dimension cycle times on the overall peak capacity of the 2DLC system. We also examine the effects of re-equilibration time on under-sampling as measured by the under-sampling factor and the influence of molecular type (peptide vs. small molecule) on peak capacity. We show that in fast 2D separations (less than 1 h), the second dimension is more important than the first dimension in determining overall peak capacity and conclude that extreme measures to enhance the first dimension peak capacity are usually unwarranted. We also examine the influence of sample types (small molecules vs. peptides) on second dimension peak capacity and peak capacity production rates, and how the sample type influences optimum second dimension gradient and re-equilibration times.
Keywords:2DLC  LC   ×     LC  2D on-line comprehensive chromatography  Multidimensional separations  Optimization  Peak capacity  Under-sampling  Re-equilibration  Cycle times  Sampling times  Peptides  Gradient elution  Isocratic elution
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号