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Published on: July 10, 2016
Electrophoretic separations of neuromediators on microfluidic devices
Yulia Mourzina1, Dmitry Kalyagin, Alfred Steffen
1Institute of Thin Films and Interfaces, Center of Nanoelectronic Systems for Information Technology, Research Center Jülich, 52425 Jülich, Germany.
On-chip capillary electrophoresis effectively separates neuromediators using field-amplified sample stacking. Hybrid PDMS-glass devices offer a promising approach for analyzing neuropeptides in small sample volumes.
Area of Science:
- Analytical Chemistry
- Microfluidics
- Biochemistry
Background:
- Neuromediator analysis is crucial for understanding neurological functions.
- Traditional methods often require large sample volumes and complex procedures.
- Microfluidic devices offer potential for miniaturized and rapid analyses.
Purpose of the Study:
- To demonstrate on-chip capillary electrophoresis for neuromediator separation.
- To investigate factors influencing microfluidic electrokinetic characteristics and separation performance.
- To evaluate the necessity of on-chip sample stacking for neuropeptide separation.
Main Methods:
- Investigated effects of buffer composition, pH, SDS, and surface treatments on PDMS-PDMS and hybrid PDMS-glass devices.
- Employed on-chip electrokinetic sample stacking, specifically field-amplified sample stacking.
- Utilized capillary electrophoresis coupled with microfluidics for separating fluorescently labeled analytes.
Main Results:
- On-chip sample stacking was found necessary for effective neuropeptide separation on elastomer-based devices.
- Field-amplified sample stacking enabled electroosmotic flow-supported separations without specialized injection schemes.
- Separations were achieved in seconds with small injection volumes (approx. 110 pL) and high plate numbers (up to ~22,000).
Conclusions:
- On-chip capillary electrophoresis, particularly with hybrid PDMS-glass devices, is a viable method for neuromediator analysis.
- The developed method allows for rapid separation and high-efficiency analysis of neuropeptides.
- This approach holds promise for the analysis of (neuro)peptides in minute sample volumes.
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