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Surface-enhanced Raman spectroscopy based quantitative bioassay on aptamer-functionalized nanopillars using

Jaeyoung Yang1, Mirko Palla, Filippo Giacomo Bosco

  • 1Department of Mechanical Engineering, Columbia University, New York, New York 10027, USA.

ACS Nano
|May 30, 2013
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Summary

This study introduces a novel Surface-Enhanced Raman Spectroscopy (SERS) biosensing method using aptamer-functionalized nanopillars for precise, low-abundance biomolecule detection. The technique enhances reproducibility and reliability in quantitative analysis.

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Area of Science:

  • Nanotechnology
  • Biotechnology
  • Spectroscopy

Background:

  • Surface-enhanced Raman spectroscopy (SERS) offers high sensitivity and specificity for biological applications.
  • Quantitative detection of biomolecules remains a challenge, especially at low concentrations.
  • Existing SERS methods can suffer from statistical irreproducibility and spot-to-spot variations.

Purpose of the Study:

  • To develop a SERS-based biosensing approach for the quantitative detection of biomolecules.
  • To utilize aptamer-functionalized gold-decorated silicon nanopillars as a SERS substrate.
  • To improve the statistical reproducibility and reliability of SERS quantification.

Main Methods:

  • Fabrication of a SERS substrate with gold-decorated silicon nanopillars.
  • Functionalization of the substrate with aptamers for specific biomolecule capture.
  • Utilizing an automated SERS signal mapping technique for quantitative analysis of TAMRA-labeled vasopressin (1 pM to 1 nM).
  • Development of an analytical model to predict intensity distributions and determine optimal mapping areas.

Main Results:

  • Demonstrated concentration-dependent SERS responses in the picomolar range (1 pM to 1 nM).
  • The signal mapping approach significantly improved statistical reproducibility compared to conventional SERS quantification.
  • An analytical model was developed to reliably predict experimental intensity distributions.
  • The minimum required mapping area for efficient and reliable analysis was calculated.

Conclusions:

  • The aptamer-functionalized nanopillar SERS substrate combined with signal mapping provides an efficient method for detecting low-abundance biomolecules.
  • This approach enhances quantitative accuracy and statistical reliability in SERS-based biosensing.
  • The developed analytical model aids in optimizing SERS mapping for robust biomolecule quantification.