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High-throughput and multiplexed regeneration buffer scouting for affinity-based interactions.

Karin P M Geuijen1, Richard B Schasfoort2, Rene H Wijffels3

  • 1Downstream Processing, Synthon Biopharmaceuticals, 6503 GN Nijmegen, The Netherlands; Bioprocess Engineering Group, Wageningen University, 6700 EV Wageningen, The Netherlands.

Analytical Biochemistry
|March 25, 2014
PubMed
Summary
This summary is machine-generated.

Optimizing biosensor regeneration buffers is crucial for accurate affinity-based analyses. This study presents a rapid method using surface plasmon resonance imaging to screen 48 buffers simultaneously, saving time and resources.

Keywords:
AffinityBuffer scoutingHigh throughputProtein–protein interactionRegenerationSurface plasmon resonance

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Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Surface Science

Background:

  • Biosensor performance relies on efficient regeneration between measurements.
  • Regeneration buffers must disrupt ligand-analyte interactions without damaging the ligand's active site.

Purpose of the Study:

  • To develop and demonstrate a high-throughput method for screening regeneration buffers for biosensors.
  • To optimize regeneration conditions for various ligand immobilization chemistries.

Main Methods:

  • Utilized a combination of continuous flow microspotter and surface plasmon resonance imaging (SPRi).
  • Simultaneously tested 48 different regeneration buffers on a single biosensor chip.
  • Applied the workflow to ligands immobilized via amine, thiol, or streptavidin coupling.

Main Results:

  • Identified optimal regeneration conditions within hours.
  • Significantly reduced the consumption of buffers, analyte, and ligand.
  • Demonstrated the broad applicability of the workflow across different immobilization strategies.

Conclusions:

  • The presented workflow offers a rapid and efficient approach for biosensor regeneration buffer optimization.
  • This method accelerates the development of robust and reliable affinity-based biosensing platforms.
  • The technique is versatile and applicable to a wide range of biosensor ligand systems.