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Ultrasensitive amyloid β-protein quantification with high dynamic range using a hybrid graphene-gold surface-enhanced

Xinke Yu1, Eric Y Hayden2, Pu Wang1

  • 1Department of Materials Science and Engineering, University of California, Los Angeles California, 90095, United States.

Journal of Raman Spectroscopy : JRS
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Summary

This study introduces a graphene-gold hybrid platform for highly sensitive, label-free biosensing using surface-enhanced Raman spectroscopy (SERS). The platform enables accurate quantification of analytes like amyloid-beta, crucial for Alzheimer

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Area of Science:

  • Nanotechnology
  • Spectroscopy
  • Biochemistry

Background:

  • Surface-enhanced Raman spectroscopy (SERS) offers high sensitivity for label-free biosensing.
  • Graphene-gold hybrid materials present a promising platform for enhanced plasmonic properties.

Purpose of the Study:

  • To develop a quantitative graphene-gold hybrid plasmonic platform for SERS-based biosensing.
  • To enable accurate determination of analyte concentration over a wide dynamic range.
  • To demonstrate the platform's utility in detecting Alzheimer's disease biomarkers.

Main Methods:

  • Fabrication of a graphene-gold hybrid plasmonic platform.
  • Quantitative SERS measurements normalized to the graphene G peak.
  • Analysis of analyte peak intensities and hot spot frequencies.
  • Detection of amyloid-beta (Aβ) protein.

Main Results:

  • The platform enables quantitative SERS measurements through intrinsic normalization modes.
  • Accurate analyte concentration determination across seven orders of magnitude.
  • Detection of amyloid-beta (Aβ) at concentrations as low as 10-18 M.
  • Linear relationships observed between peak intensity/hot spot frequency and Aβ concentration.

Conclusions:

  • The graphene-gold hybrid platform facilitates sensitive and quantitative SERS biosensing.
  • The platform demonstrates potential for early Alzheimer's disease diagnosis through Aβ detection.
  • Further improvements in sensitivity are achievable through optimized analyte application and laser scanning.