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Pressure-assisted selective preconcentration in a straight nanochannel
Anne-Claire Louër1, Adrien Plecis, Antoine Pallandre
1Laboratoire de Photonique et de Nanostructures, CNRS-UPR 20, 91460 Marcoussis, France. anne-claire.louer@lpn.cnrs.fr
Analytical Chemistry
|July 24, 2013
Summary
We developed a novel pressure-assisted electropreconcentration technique for microfluidic devices. This method enhances control over analyte focusing, enabling both anodic and cathodic focusing for biomarker detection.
Area of Science:
- Analytical Chemistry
- Microfluidics
- Biomarker Detection
Background:
- Microfluidic devices are crucial for analyzing small sample volumes.
- Controlling analyte preconcentration is essential for sensitive detection.
- Existing methods struggle with precise control over focusing regimes.
Purpose of the Study:
- To introduce a new pressure-assisted electropreconcentration method.
- To investigate its effect on analyte preconcentration profiles in microfluidic chips.
- To demonstrate control over both anodic focusing (AF) and cathodic focusing (CF) regimes.
Main Methods:
- Utilized a microfluidic chip with a nanoslit.
- Implemented a preconcentration method combining electroosmotic, electrophoretic, and hydrodynamic pressure.
- Developed a predictive model for pressure-assisted electropreconcentration flow profiles.
- Tested with fluorescein and bovine serum albumin (BSA).
Main Results:
- Hydrostatic pressure stabilizes concentration polarization (CP) for fluorescein, improving cathodic focusing (CF) peak control.
- Varying hydrodynamic pressure significantly impacts BSA preconcentration, allowing selection of anodic or cathodic focusing.
- Achieved both anodic focusing (AF) and cathodic focusing (CF) in the same microfluidic structures for the first time.
Conclusions:
- Pressure-assisted electropreconcentration offers enhanced control over analyte focusing in microfluidics.
- This technique enables tunable preconcentration, allowing for both AF and CF regimes.
- Opens new possibilities for sensitive detection and quantification of low-abundance biomarkers.
