Hook Effect Detection in Immune Turbidimetry Using Reaction Kinetics
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Solution Overview
Problem
Turbidimetric inhibition immunoassays often result in low or false negative test results due to the hook effect caused by excessively high concentrations of antigens in samples, leading to prolonged testing times and delayed diagnosis, especially in clinical settings where quick detection of proteins like C-reactive protein is crucial.
Innovation Solution
A method that involves mixing the sample with a reaction reagent, obtaining measured values within a predetermined time period to generate a reaction curve, estimating the analyte concentration, and comparing it with a reference curve to determine if the sample has a hook effect, allowing for early termination of testing and potential retesting with dilution if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire reaction time is used for detection, then the measurement precision is improved, but the testing time is prolonged
Solution Approach 1:
The patent applies preliminary action by performing hook effect detection during the initial phase of the reaction (within predetermined time period T1 to Tn) before the reaction is complete. The system calculates a reaction rate based on measured values obtained during this early period and compares it with a reference reaction rate to determine hook effect presence, allowing early termination of testing when hook effect is detected.
Solution Approach 2:
The patent implements self-service by using the reaction system's own kinetic characteristics (reaction rate changes during incubation) to automatically detect hook effect. The system monitors the reaction progression and uses the reaction rate calculation and comparison methodology to self-diagnose hook effect conditions without requiring additional external interventions or extended testing periods.
2Reliability
If two specific wavelengths are used for detection, then the reliability of hook effect detection is improved, but the device complexity increases
Solution Approach 1:
The patent applies parameter changes by utilizing kinetic parameters (reaction rate changes over time) rather than static endpoint measurements. The system calculates reaction rates from measured values obtained during the reaction incubation period and compares these kinetic parameters with reference values to determine hook effect, transforming the detection approach from endpoint-based to rate-based measurement.
3Measurement precision
If retesting with dilution is performed for samples with hook effect, then the measurement precision is improved, but the productivity decreases
Solution Approach 1:
The patent applies preliminary action by performing hook effect screening during the initial reaction phase before final result reporting. By detecting hook effect early in the reaction process (within time period T1 to Tn) and before the complete reaction is finished, the system can identify problematic samples and trigger retesting with dilution, preventing wasted resources on samples that will require retesting anyway.
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
This approach significantly reduces the detection time for samples with hook effects, improving the speed of outpatient testing by quickly identifying abnormal samples and reducing the time required for blood protein tests, such as CRP testing.
Implementation Method 1
Antibody-antigen complexes scatter and block light. Therefore, the amount of antibody-antigen complexes is proportional to change in intensity of transmitted or scattered light.
Implementation Method 2
Turbidimetric inhibition immunoassay is a dynamic assay based on binding of antigen to antibody. The turbidimetric immunoassay includes turbidimetric immunoassay and nephelometric immunoassay.
Data Source
AI summary
Provided are a method and device for recognizing hook effect in immune turbidimetry, and a computer readable medium. This method generates a reaction curve using light signals measured in a predetermined time period by immune reaction of analyte in a sample, and uses distribution information of the reaction curve in the predetermined time period to determine whether the sample has hook effect. This method only uses measurement information of a small predetermined time period in entire reaction time to determine whether a sample has hook effect, and terminates the test in time, thus accelerating the speed of immune turbidimetry detection of samples with hook effect.