4.6 Article

Antibody Surface Coverage Drives Matrix Interference in Microfluidic Capillary Immunoassays

Journal

ACS SENSORS
Volume 6, Issue 7, Pages 2682-2690

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssensors.1c00704

Keywords

matrix effect; microfluidics; biosensors; protein biomarkers; microcapillary film

Funding

  1. Loughborough University
  2. EPSRC [EP/L013983/1]
  3. EPSRC [EP/L013983/1] Funding Source: UKRI

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This study conducted a systematic analysis using hundreds of actual microfluidic immunoassay fluoropolymer strips to investigate matrix interference in microflow systems. The experiment revealed that the key factor affecting serum matrix interference is capillary antibody surface coverage. A new approach for eliminating and/or minimizing serum matrix interference was proposed, focusing on antibody surface coverage and sample incubation times.
The performance of biosensors is often optimized in buffers, which brings inconsistencies during applications with biological samples. Current strategies for minimizing sample (matrix) interference are complex to automate and miniaturize, involving, e.g., sample dilution or recovery of serum/plasma. This study shows the first systematic analysis using hundreds of actual microfluidic immunoassay fluoropolymer strips to understand matrix interference in microflow systems. As many interfering factors are assay-specific, we have explored matrix interference for a range of enzymatic immunoassays, including a direct mIgG/anti-mIgG, a sandwich cancer biomarker PSA, and a sandwich inflammatory cytokine IL-1 beta. Serum matrix interference was significantly affected by capillary antibody surface coverage, suggesting for the first time that the main cause of the serum matrix effect is low-affinity serum components (e.g., autoantibodies) competing with high-affinity antigens for the immobilized antibody. Additional experiments carried out with different capillary diameters confirmed the importance of antibody surface coverage in managing matrix interference. Building on these findings, we propose a novel analytical approach where antibody surface coverage and sample incubation times are key for eliminating and/or minimizing serum matrix interference, consisting in bioassay optimization carried out in serum instead of buffer, without compromising the performance of the bioassay or adding extra cost or steps. This will help establishing a new route toward faster development of modern point-of-care tests and effective biosensor development.

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