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Related Experiment Videos

Multiple-analyte fluoroimmunoassay using an integrated optical waveguide sensor.

T E Plowman1, J D Durstchi, H K Wang

  • 1Department of Biomedical Engineering, Duke University, Durham, North Carolina 27710, USA.

Analytical Chemistry
|October 12, 1999
PubMed
Summary
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This study demonstrates a rapid, multi-analyte immunoassay (MAIA) using silicon oxynitride waveguides. Monoclonal antibodies showed high correlation with single-analyte assays, suggesting MAIA

Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Materials Science

Background:

  • Integrated optical waveguides offer sensitive detection methods.
  • Immunoassays are crucial for disease diagnostics.
  • Multiplexed detection enhances diagnostic efficiency.

Purpose of the Study:

  • To evaluate a novel silicon oxynitride integrated optical waveguide for multi-analyte immunoassay (MAIA).
  • To compare MAIA performance using polyclonal and monoclonal antibodies against single-analyte immunoassay (SAIA) formats.
  • To assess MAIA accuracy for cardiac biomarkers in simulated clinical samples.

Main Methods:

  • Evanescent excitation of fluorescence from a multianalyte sensor surface.
  • Sandwich immunoassay format utilizing silicon oxynitride waveguides.

Related Experiment Videos

  • Comparison of MAIA and SAIA results for multiple analytes in different antibody formats and sample matrices (PBS, simulated serum).

    • Main Results:

    • MAIA showed high correlation (R2 = 0.93-0.99) with SAIA for monoclonal antibodies, indicating reliable performance.
    • Polyclonal antibodies exhibited wider variability (R2 = 0.42-0.98) and non-ideal binding characteristics.
    • MAIA accurately quantified cardiac biomarkers (CK-MB, troponin I, myoglobin) with strong correlation (R2 = 0.97-0.99) to SAIA.

    Conclusions:

    • Silicon oxynitride waveguides enable rapid, multiplexed immunoassays.
    • Monoclonal antibodies are preferred for MAIA due to consistent and accurate results.
    • The developed MAIA platform shows promise for clinical diagnostics, particularly for cardiac marker detection.