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Highly sensitive nanoparticle-based immunoassays with elemental detection: Application to Prostate-Specific Antigen

Marta Garcia-Cortes1, Jorge Ruiz Encinar1, Jose M Costa-Fernandez1

  • 1Department of Physical and Analytical Chemistry, University of Oviedo, Julián Clavería 8, Oviedo 33006, Spain.

Biosensors & Bioelectronics
|May 11, 2016
PubMed
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A novel immunoassay platform using Mn-doped ZnS quantum dots enables highly sensitive cancer biomarker detection. This method achieves attogram-per-milliliter sensitivity for Prostate-Specific Antigen (PSA) detection.

Area of Science:

  • Biochemistry
  • Nanotechnology
  • Analytical Chemistry

Background:

  • Developing sensitive assay methods for biomolecules is challenging due to ultralow clinical sample concentrations.
  • High sensitivity is crucial for accurate detection of cancer biomarkers.

Purpose of the Study:

  • To present a Mn-doped ZnS quantum dots-based immunoassay platform for highly sensitive cancer biomarker detection.
  • To achieve ultrahigh sensitivity through gold nanoparticle amplification for enhanced detection.

Main Methods:

  • Utilized Mn-doped ZnS quantum dots as nanoparticle tags.
  • Employed gold deposition on nanoparticle tags as catalytic seeds for size amplification.
  • Measured gold content using elemental mass spectrometry for quantification.
Keywords:
Biomarkers detectionImmunoassaysMass spectrometryNanotechnologyQuantum dots

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Main Results:

  • Achieved attogram-per-milliliter level detection of Prostate-Specific Antigen (PSA).
  • Demonstrated a broad dynamic range exceeding 8 orders of magnitude for PSA detection.
  • Successfully discriminated small differences in PSA concentrations in real serum samples.

Conclusions:

  • The developed immunoassay platform offers ultrahigh sensitivity and a broad dynamic range for biomarker detection.
  • This method is highly applicable for clinical studies requiring quantitative detection of diverse biomarkers at varying concentrations.
  • The platform shows promise for sensitive and reliable cancer biomarker analysis in clinical settings.