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Providing Enhanced Migration Time Reproducibility with a High-Voltage-Compatible Flow Sensor for Capillary
Florian Kehl1, Tomas Drevinskas1, Jessica S Creamer1
1NASA Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, California 91109, United States.
This study introduces a high-voltage flow sensor for capillary electrophoresis (CE) to monitor flow within the capillary. This enables compensation for flow instabilities, significantly improving run-to-run reproducibility in CE separations.
Area of Science:
- Analytical Chemistry
- Separation Science
- Instrumentation
Background:
- Analyte identification in capillary electrophoresis (CE) relies on migration time, influenced by electrophoretic mobility and electro-osmotic flow (EOF).
- Migration time accuracy is compromised by parasitic flow caused by temperature or pressure fluctuations during CE runs.
Purpose of the Study:
- To develop and present a high-voltage-compatible flow sensor for real-time monitoring of volumetric flow within a CE capillary.
- To enable compensation for flow instabilities and enhance the reproducibility of CE separations.
Main Methods:
- A novel high-voltage-compatible flow sensor was designed and integrated into a CE system.
- The sensor achieved volumetric flow monitoring with nanoliter per minute (nL/min) resolution.
- Electropherograms were re-expressed using electromigration velocity instead of migration time for data analysis.
Main Results:
- The flow sensor accurately measured volumetric flow inside the capillary during CE separations.
- Direct measurement of flow and time allowed for effective compensation of flow instabilities.
- Re-expressing electropherograms by electromigration velocity improved run-to-run reproducibility by up to 25-fold.
Conclusions:
- The developed flow sensor provides a critical tool for improving the reliability of CE.
- Compensating for flow variations through direct measurement significantly enhances the reproducibility of CE separations.
- Utilizing electromigration velocity offers a more robust method for data analysis in CE.
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