Literature DB >> 34525266

Strategies to circumvent the solvent strength mismatch problem in online comprehensive two-dimensional liquid chromatography.

Soraya Chapel1, Sabine Heinisch1.   

Abstract

On-line comprehensive two-dimensional liquid chromatography is a powerful technique for the separation of highly complex samples. Due to the addition of the second dimension of separation, impressive peak capacities can be obtained within a reasonable analysis time compared to one-dimensional liquid chromatography. In online comprehensive two-dimensional liquid chromatography, the separation power is maximized by selecting two separation dimensions as orthogonal as possible, which most often requires the combination of different mobile phases and stationary phases. The online transfer of a given solvent from the first dimension to the second dimension may cause severe injection effects in the second dimension, mostly due to solvent strength mismatch. Those injection effects may include peak broadening, peak distortion, peak splitting or breakthrough phenomenon. They are often found to reduce significantly the peak capacity and the peak intensity. To overcome such effects, arising specifically in online comprehensive two-dimensional liquid chromatography, different methods have been developed over the years. In this review, we focused on the most recently reported ones. A critical discussion, supported by a theoretical approach, gives an overview of their advantages and drawbacks.
© 2021 Wiley-VCH GmbH.

Entities:  

Keywords:  breakthrough phenomena; modulation interfaces; solvent strength mismatch; two-dimensional liquid chromatography

Year:  2021        PMID: 34525266     DOI: 10.1002/jssc.202100534

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  1 in total

1.  Prediction of the performance of pre-packed purification columns through machine learning.

Authors:  Qihao Jiang; Sohan Seth; Theresa Scharl; Tim Schroeder; Alois Jungbauer; Simone Dimartino
Journal:  J Sep Sci       Date:  2022-03-20       Impact factor: 3.614

  1 in total

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