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Optimization of Surface Functionalizations for Ring Resonator-Based Biosensors.

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Summary
This summary is machine-generated.

Surface functionalization of microring resonator biosensors using aptamers and mercaptosilanes enhances biomarker detection. This optimized protocol shows promise for point-of-care liquid biopsy applications.

Keywords:
aptamer functionalizationbiomarker detectionon-chip liquid biopsyphotonic biosensorsurface silanization

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Area of Science:

  • Biosensing Technology
  • Surface Chemistry
  • Biomarker Detection

Background:

  • Liquid biopsy holds promise for widespread clinical use, driven by point-of-care devices like label-free biosensors.
  • Effective surface functionalization is critical for biosensor performance, ensuring accurate, sensitive, and specific molecular detection.

Purpose of the Study:

  • To optimize the surface functionalization of microring resonator (MRR)-based biosensors for protein biomarker detection.
  • To develop a robust and transferable functionalization protocol for sensitive and specific biomarker identification.

Main Methods:

  • Functionalization of MRR biosensor surfaces using aptamers and mercaptosilanes.
  • Optimization of plasma treatment (Argon), silanization (1% v/v mercaptosilane), aptamer concentration (1 µM), and immobilization time (3 h).
  • Characterization and validation of the functionalization protocol for thrombin detection using a photonic biosensor.

Main Results:

  • Argon plasma treatment and 1% v/v mercaptosilane provided a homogeneous surface suitable for aptamer conjugation.
  • Optimized aptamer immobilization achieved high performance.
  • The functionalization protocol demonstrated successful target recognition for thrombin, though limitations in real-world conditions were noted.

Conclusions:

  • The developed aptamer-based surface functionalization protocol is effective for MRR biosensors.
  • The protocol shows potential for sensitive protein biomarker detection in point-of-care settings.
  • Further refinement is needed to address limitations in real measurement conditions for clinical translation.