Predicting Analyte Concentrations via Kinetic Modeling
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Solution Overview
Problem
Existing immunoassay methods are slow and prone to errors due to incomplete reactions and interference from obstructive effects, making it difficult to rapidly and accurately detect and quantify analytes like hormones, proteins, and drugs.
Innovation Solution
A method that predicts future properties of a system by measuring multiple properties over time and combining them using predetermined weights, allowing for early prediction of reaction outcomes without waiting for the reaction to complete, and neutralizing obstructive effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the reaction is allowed to proceed to completion before measurement, then measurement accuracy is improved, but measurement time increases significantly
Solution Approach 1:
The method performs preliminary measurements at multiple time points during the reaction process before completion. By collecting data early and using kinetic modeling to predict the final result, the system avoids waiting for reaction completion while maintaining accuracy. The preliminary measurements capture the reaction progression, allowing mathematical prediction of the endpoint without actual waiting.
Solution Approach 2:
The invention replaces the mechanical/waiting-based measurement approach with a computational/mathematical approach. Instead of physically waiting for reaction completion and then measuring, the system uses mathematical models and algorithms to predict the final result from intermediate measurements, substituting computational processing for temporal waiting.
2Measurement precision
If traditional measurement methods are used, then the target property can be measured directly, but obstructive effects cause significant measurement errors
Solution Approach 1:
The method extracts and separates the target signal from obstructive background effects by measuring multiple properties and using mathematical modeling. The kinetic model distinguishes between reaction-related signals and obstructive effects, allowing the target property to be isolated and measured accurately even in the presence of interference.
Solution Approach 2:
The invention introduces mathematical models and algorithms as intermediaries between the raw measurements and the final result. These computational intermediaries process the multi-parameter data, separating target signals from obstructive effects and producing an accurate prediction of the future property that would be free from measurement interference.
3Measurement precision
If multiple properties are measured at multiple time points, then prediction accuracy is improved, but measurement complexity increases
Solution Approach 1:
The system uses a universal mathematical modeling framework that can handle multiple measured properties and time points through a single integrated approach. The kinetic model serves as a multi-functional tool that processes various types of measurement data simultaneously, reducing the need for separate analysis methods for each property and simplifying the overall measurement complexity.
Data Source
AI summary
A method for measuring specific substances and extracting objective information from the measurements that is especially applicable in immunoassays but can also be used in other assays which rely on affinity between binding partners. The invention overcomes problems and difficulties caused by disturbing or interfering phenomena by exploiting a mathematical algorithm which predicts the target value from a series of measurements performed during the reaction. The mathematical method of linear prediction is used for this purpose.