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Protein binding detection using on-chip silicon gratings.

Anil Kumar Mudraboyina1, Jayshri Sabarinathan

  • 1Department of Electrical and Computer Engineering, University of Western Ontario, London, ON N6A 5B9, Canada. amudrabo@uwo.ca

Sensors (Basel, Switzerland)
|January 17, 2012
PubMed
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This study presents a silicon gratings biosensor for detecting protein binding. The biosensor shows high sensitivity to refractive index and thickness changes, enabling efficient and selective biomolecule detection.

Area of Science:

  • Nanotechnology
  • Biotechnology
  • Materials Science

Background:

  • Biosensors are crucial for detecting biomolecular interactions.
  • Silicon gratings offer a promising platform for label-free biosensing applications.
  • Improving selectivity and efficiency in biosensing remains a key challenge.

Purpose of the Study:

  • To develop and characterize a silicon gratings-based biosensor for detecting functionalized protein binding.
  • To evaluate the sensitivity and selectivity of the biosensor for specific biomolecular interactions.
  • To demonstrate the potential of silicon gratings in label-free biosensing.

Main Methods:

  • Fabrication of silicon gratings with specific dimensions.
  • Surface functionalization with streptavidin to enable specific binding.
Keywords:
biosensorgratingsimmobilizationproteinsilicon

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  • Detection of biotin (target molecule) using normal transmission measurements.
  • Analysis of resonant peak wavelength shifts to quantify binding events.

    • Main Results:

    • Silicon gratings exhibited high sensitivity: 197 nm/RIU for refractive index and 1.61 nm/nm for thickness change.
    • Successful functionalization of streptavidin and selective capture of biotin.
    • Observed resonant peak wavelength shifts of ~7 nm for streptavidin and ~15 nm for biotin immobilization.
    • Demonstrated elimination of non-specific binding for enhanced selectivity.

    Conclusions:

    • The developed silicon gratings biosensor is highly sensitive and selective for detecting protein binding.
    • The platform shows significant potential for label-free detection of biomolecules.
    • This technology can be applied in various fields requiring precise biomolecular detection.