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当分离机制相关联时,综合多维液相色谱中的平行梯度可增强分离空间的利用率和正交度。

Parallel gradients in comprehensive multidimensional liquid chromatography enhance utilization of the separation space and the degree of orthogonality when the separation mechanisms are correlated.

机构信息

Department of Chemistry, University of Waterloo, Waterloo, ON, Canada; Analytical Chemistry Department, Faculty of Pharmacy, Minia University, Menia Governorate, Egypt.

Department of Chemistry and Polymer Science, Stellenbosch University, Stellenbosch, South Africa.

出版信息

J Chromatogr A. 2020 Sep 27;1628:461452. doi: 10.1016/j.chroma.2020.461452. Epub 2020 Aug 5.

Abstract

Comprehensive two-dimensional liquid chromatography (LC×LC) offers increased peak capacity, resolution and selectivity compared to one-dimensional liquid chromatography. It is commonly accepted that the technique produces the best results when the separation mechanisms in the two dimensions are completely orthogonal, which necessitates the use of gradient elution for each second-dimension fraction. Recently, the use of similar separation mechanisms in both dimensions has been gaining popularity, but full or shifted gradients are still used for each second dimension fraction. Herein, we argue that when the separation mechanisms are correlated in the two dimensions, the best results can be obtained with the use of parallel gradients in the second dimension, which makes the technique nearly as user-friendly as comprehensive two-dimensional gas chromatography. This has been illustrated through the separation of a mixture of 39 pharmaceutical compounds using reversed phase in both dimensions. Different selectivity in the second dimension was obtained through the use of different stationary phase chemistries and/or mobile phase organic modifiers. The best coverage of the separation space was obtained when parallel gradients were applied in both dimensions, and the same was true for practical peak capacity.

摘要

二维液相色谱(LC×LC)与一维液相色谱相比,具有更高的峰容量、分辨率和选择性。通常认为,当二维中的分离机制完全正交时,该技术会产生最佳效果,这就需要对每个二维馏分使用梯度洗脱。最近,在两个维度中使用类似的分离机制已经变得越来越流行,但仍对每个二维馏分使用全梯度或移位梯度。本文认为,当二维中的分离机制相关时,二维中使用平行梯度可以获得最佳效果,这使得该技术几乎与全二维气相色谱一样易于使用。这通过使用反相在两个维度上分离 39 种药物混合物得到了证明。通过使用不同的固定相化学和/或流动相有机改性剂,在第二维上获得了不同的选择性。当在两个维度上都应用平行梯度时,可获得最佳的分离空间覆盖,实际峰容量也是如此。

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