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Updated: Jan 29, 2026

Multiplex Cytokine Profiling of Stimulated Mouse Splenocytes Using a Cytometric Bead-based Immunoassay Platform
Published on: November 9, 2017
Kinetic Profiling in One-Step Digital Immunoassays Enables Multiplex Quantification across an Ultrabroad Dynamic
Abtin Saateh1, Rojina Allamehnejad1, Wenhong Yang1
1Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland.
This study introduces a kinetic framework to overcome the hook effect in immunoassays by analyzing single-particle signals over time. This method quantizes high analyte concentrations and reduces cross-reactivity for accurate biomarker detection in serum.
Area of Science:
- Biosensing
- Analytical Chemistry
- Biophysics
Background:
- One-step sandwich immunoassays can suffer from the hook effect at high analyte concentrations, leading to inaccurate results.
- The hook effect occurs when excess analyte inhibits sandwich complex formation, complicating quantitative analysis.
Purpose of the Study:
- To develop a kinetic framework for resolving ambiguity caused by the hook effect in immunoassays.
- To enable accurate quantification of biomarkers across a wide dynamic range, including high concentrations.
- To address and minimize cross-reactivity in multiplexed biosensing applications.
Main Methods:
- Utilized time-resolved single-particle plasmonic signals from gold nanohole arrays with nanoparticle reporters.
- Tracked individual binding events and analyzed response-time profiles using mass-transport- and reaction-limited models.
- Developed a digital framework to classify and decouple cross-reactivity in multiplexed assays.
Main Results:
- Identified the kinetic transition responsible for the hook effect by comparing fit residuals.
- Converted the hook effect into a quantitative feature by understanding the underlying kinetics.
- Successfully applied the approach to multiplexed detection of cytokines and C-reactive protein in unprocessed human serum.
- Enabled simultaneous quantification of biomarkers spanning over 9 orders of magnitude without sample splitting or dilution.
Conclusions:
- Established a generalizable kinetic, cross-reactivity-aware biosensing paradigm.
- The mechanistic strategy overcomes limitations of traditional immunoassays for complex biological samples.
- This approach enhances the accuracy and dynamic range of biomarker quantification in clinical diagnostics.
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