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Updated: May 25, 2026

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Application of Biochip Microfluidic Technology to Detect Serum Allergen-specific Immunoglobulin E (sIgE)
Published on: April 21, 2019
Multiplexed, rapid point of care platform to quantify allergen-specific IgE
M R Monroe1, A P Reddington, M Cretich
1Biomedical Engineering Department BostonUniversity, Boston, Ma 02446, USA.
Summary
This study introduces a new point-of-care diagnostic platform that accurately measures probe density and target capture. This technology enhances diagnostic reliability and offers rapid results for healthcare settings.
Area of Science:
- Biotechnology
- Medical Diagnostics
- Surface Chemistry
Background:
- Inconsistent probe immobilization on microarrays compromises diagnostic accuracy in healthcare.
- Existing diagnostic technologies face challenges with chip-to-chip variability and quantitative analysis.
Purpose of the Study:
- To develop a calibrated, multiplexed, dual-modality point-of-care detection platform.
- To correlate label-free measurement of surface probe density with captured labeled secondary antibody.
- To improve the reliability and quantitative accuracy of diagnostic assays.
Main Methods:
- Utilized a dual-modality approach combining label-free and fluorescent detection.
- Developed a method for single spot analysis based on fluorophore detection.
- Optimized substrate for a 10-fold gain in fluorescence signal.
- Calibrated measurements using both modalities to determine probe and bound target density.
Main Results:
- Achieved over 90% linear correlation between surface-bound probe amount and captured target fluorescence.
- Demonstrated applicability across various targets including IgG, allergens (Ara h 1, Phl 5a), and β-lactoglobulin.
- Platform shows independence from chip-to-chip variability.
Conclusions:
- The developed platform offers a calibrated, quantitative, and reliable method for diagnostic assays.
- Its compact design and rapid results are suitable for point-of-care applications.
- This technology addresses key limitations in current microarray-based diagnostics.

