Immunoassay Hook Effect Detection Using Multiple Absorbance Readings
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Solution Overview
Problem
Existing diagnostic assays, particularly immunoassays, suffer from the hook effect when high concentrations of target analytes saturate antibodies, leading to false negative or false low concentration results, which can have detrimental effects on patient care, and current compensation methods are time-consuming and resource-intensive.
Innovation Solution
A detection formula/algorithm is employed to identify the hook effect by monitoring reaction kinetics through multiple absorbance readings during the immunoassay, using equations such as IF (Target Analyte Concentration ≥ C) AND ((MCR-MR2)/(MR2-MR1) > R, to flag potentially erroneous results and prompt further analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If high concentrations of target analyte are present in the patient's liquid test sample, then the binding capacity of antibodies is exceeded, but false negative or false low concentration results are reported
Solution Approach 1:
The patent performs preliminary actions by conducting multiple absorbance measurements at different time points during the assay reaction, and by pre-establishing detection formulas that incorporate these measurements. This allows the system to proactively identify hook effect conditions before final results are reported, preventing false measurements.
Solution Approach 2:
The patent implements feedback mechanisms by using detected absorbance values to calculate reaction kinetics parameters, which then feed into detection formulas that determine whether hook effect is present. This feedback loop allows the system to adjust its interpretation of results based on the observed reaction patterns, ensuring accurate measurement even at high analyte concentrations.
2Measurement precision
If secondary mechanisms such as reaction test strip or wash step are added to compensate for hook effect, then true concentration can be determined, but additional time and resources are required
Solution Approach 1:
The patent merges the hook effect detection function with the standard assay procedure by incorporating multiple absorbance measurements that are already taken during the normal reaction process. The detection formulas combine these existing measurements with pre-determined kinetic parameters, eliminating the need for separate detection steps or additional wash procedures.
Solution Approach 2:
The assay system performs self-service by automatically detecting hook effect conditions using its own inherent measurements and built-in detection formulas. The system uses its own reaction kinetics data to identify and flag potential hook effect cases without requiring external validation tests or additional manual intervention.
3Reliability
If multiple absorbance measurements are taken during the diagnostic assay, then reaction kinetics can be monitored to detect hook effect, but the complexity of the assay increases
Solution Approach 1:
The patent applies parameter changes by utilizing absorbance measurements taken at different time points during the reaction process. By analyzing changes in absorbance parameters over time and comparing them against pre-determined kinetic parameters, the system can detect hook effect conditions without adding complex procedural steps.
Solution Approach 2:
The patent uses partial action by taking advantage of absorbance measurements that are already performed as part of the standard assay protocol. Rather than requiring complete additional measurement sequences, the system uses a subset of existing measurements combined with detection formulas to achieve reliable hook effect detection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method accurately detects the hook effect, allowing for correction of false results without additional time or resources, thereby enhancing the accuracy of diagnostic assays.
Implementation Method 1
The hook effect is based on the saturation curve of antibody with antigen
Implementation Method 2
at least a first absorbance measurement (MR1) of the patient's liquid test sample, a second absorbance measurement (MR2) of the patient's liquid test sample, and a final absorbance measurement (MCR) of the patient's liquid test sample are recorded via optical interrogation
Data Source
AI summary
Devices and methods for the hook effect detection associated with analytes of interest in the conductance of one or more diagnostic assays, including, without limitation, immunoassays.