Publication details
The on-line preconcentration in affinity capillary electrophoresis
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| Year of publication | 2022 |
| Type | Appeared in Conference without Proceedings |
| MU Faculty or unit | |
| Citation | |
| Description | The capillary electrophoresis (CE) is an attractive technique for its rapid analyses, high efficiency, possible automation, and the ability to use a wide range of separation conditions, including the solutions with pH values from strongly acidic to highly basic. Despite mentioned advantages of CE there is a certain limitation of the technique, i.e. the low concentration sensitivity associated with the conventional ultraviolet-visible (UV-VIS) detection. There are some possibilities of increasing the concentration sensitivity in CE. One of them is exchanging the detection device with a more sensitive one such are fluorescence, mass spectrometry or conductivity detectors. Another more elegant methods are the preconcentration techniques which allow the use of universal and less expensive UV-VIS detection and still enhance the concentration sensitivity. On-line preconcentration techniques provide automated analysis during separation where analytes are concentrated directly in the capillary. With these techniques there is no need of derivatization neither immobilization of the analytes. CE not only serves as a tool for qualitative and quantitative sample analysis. It also enables to describe the interaction between binding partners in terms of binding strength and the number of binding sites. One of the established CE regimes for affinity interaction studies is capillary electrophoresis-frontal analysis (CE-FA). By choosing conditions close to physiological conditions, it is possible to study the pharmacokinetics between plasma proteins and drugs, thus obtaining a realistic picture of what is happening inside our bodies. In this study was to optimize the new more sensitive CE-FA method by its combination with online preconcentration technique and the classical CE-FA method with similar conditions for data comparison was used. |
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