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Determination of Fucose Concentration in a Lectin-Based Displacement Microfluidic Assay.
Per G Erlandsson1, Eva Åström2, Peter Påhlsson2
1Transport and Separations Group, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden.
We compared microfluidic and ELISA methods for quantifying fucose. Microfluidic assays using fluorescence or SPR detection offer faster analysis times for fucose quantification.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Biotechnology
Background:
- Accurate quantification of monosaccharides like fucose is crucial in biological and medical research.
- Traditional methods can be time-consuming and lack real-time kinetic data.
- Developing rapid and sensitive analytical platforms is an ongoing challenge.
Purpose of the Study:
- To compare the efficacy of three distinct methods for quantifying fucose.
- To evaluate microfluidic assays against a conventional static ELISA for fucose detection.
- To assess the potential of microfluidic platforms for developing one-step analytical systems.
Main Methods:
- Comparison of two microfluidic displacement assays (fluorescence and Surface Plasmon Resonance - SPR) with a static displacement Enzyme-Linked Immunosorbent Assay (ELISA).
- Utilized immobilized S2-AAL, a polypeptide based on Aleuria aurantia lectin, as the stationary binding site.
- Quantification based on the displacement of the glycoprotein lactoferrin by fucose.
Main Results:
- All three assays demonstrated a comparable dynamic range for fucose quantification.
- Microfluidic assays, particularly those employing fluorescence or SPR detection, exhibited significantly shorter analysis times.
- The microfluidic displacement assays provided continuous data, offering insights into interaction kinetics.
Conclusions:
- Microfluidic assays offer a significant advantage over static ELISA due to reduced analysis times for fucose quantification.
- The developed microfluidic displacement assays hold promise for creating efficient one-step analytical platforms.
- These findings pave the way for faster and more informative saccharide analysis in various applications.
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