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Preparation and Photoacoustic Analysis of Cellular Vehicles Containing Gold Nanorods
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Trace cancer biomarker quantification using polystyrene-functionalized gold nanorods.

Jian Wu1, Wei Li2, Ghazal Hajisalem1

  • 1Department of Electrical Engineering, University of Victoria, Victoria, British Columbia V8W 2Y2, Canada.

Biomedical Optics Express
|January 10, 2015
PubMed
Summary

Polystyrene-functionalized gold nanorods offer a new method for detecting the cancer biomarker Acetyl Amantadine (AcAm) using surface-enhanced Raman scattering (SERS). This low-cost platform shows potential for early cancer diagnosis.

Keywords:
(240.6680) Surface plasmons(240.6695) Surface-enhanced Raman scattering(280.4788) Optical sensing and sensors

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Area of Science:

  • Nanotechnology
  • Biomedical Engineering
  • Analytical Chemistry

Background:

  • Early cancer detection is crucial for effective treatment.
  • Developing sensitive and cost-effective diagnostic tools is a significant challenge.
  • Acetyl Amantadine (AcAm) is an exogenous biomarker associated with certain cancers.

Purpose of the Study:

  • To develop and validate a novel platform for the quantification of Acetyl Amantadine (AcAm).
  • To utilize gold nanorods (AuNRs) functionalized with polystyrene for enhanced detection.
  • To establish a surface-enhanced Raman scattering (SERS) based method for early cancer biomarker detection.

Main Methods:

  • Polystyrene-functionalized gold nanorods (AuNRs) were synthesized.
  • The hydrophobic polystyrene layer was used to capture hydrophobic AcAm from solution.
  • Quantification was performed using surface-enhanced Raman scattering (SERS) after sample drying.

Main Results:

  • The polystyrene-AuNR platform successfully captured and concentrated AcAm.
  • A sensitive SERS detection method was established for AcAm.
  • A detection limit of 16 ng/mL was achieved for AcAm quantification.

Conclusions:

  • Polystyrene-functionalized AuNRs provide an effective SERS platform for AcAm detection.
  • The developed method demonstrates potential for low-cost and early cancer detection.
  • This approach offers a promising avenue for developing new cancer diagnostic tools.