Longitudinal Assay Kinetic Analysis for Biomarker Specificity
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Solution Overview
Problem
Existing detection methods for macro and small molecules, including bio-molecules, often sacrifice sensitivity, speed, or the ability to distinguish specific from non-specific binding, leading to inaccurate biomarker detection and higher false positive rates in clinical and diagnostic settings.
Innovation Solution
A method involving multiple passes of a fluid sample across an assay surface with capture agents, creating binding curves through temporally-spaced detections to differentiate specific from non-specific binding, allowing for accurate quantification of biomarker concentrations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single measure of binding is taken to detect analyte concentration, then the detection is rapid and simple, but the ability to distinguish specific binding from non-specific binding is lost, leading to false positives
Solution Approach 1:
The patent applies periodic action by performing multiple binding measurements at different time points rather than a single measurement. The method involves taking at least two binding measurements at different time points to generate binding curve data, which allows differentiation between specific and non-specific binding through kinetic analysis. This temporal periodicity enables accurate detection while maintaining reasonable throughput.
2Measurement precision
If the optimal binding time is chosen for one analyte in a multiplexed assay, then that analyte is detected with optimal sensitivity, but other analytes are detected at non-optimal times, sacrificing their detection quality
Solution Approach 1:
The patent applies dynamics by using kinetic analysis that adapts to different binding rates. Instead of fixing the detection time to optimize for one analyte, the method measures binding over time and analyzes the kinetic profiles of different analytes. This allows each analyte's optimal detection parameters to be determined dynamically from its binding curve, enabling multiplexed detection where each analyte is detected at its optimal conditions.
Solution Approach 2:
The patent applies parameter changes by analyzing binding measurements taken at multiple time points to derive kinetic parameters such as association rates and dissociation rates. By changing the time parameter and analyzing how binding changes over time, the method can distinguish between analytes with different binding kinetics, allowing optimal detection of multiple analytes with different binding characteristics.
3Device complexity
If non-specific binding is not distinguished from specific binding, then the assay procedure is simple, but the accuracy of biomarker quantification is compromised with higher false positive rates
Solution Approach 1:
The patent applies preliminary action by performing multiple binding measurements at different time points before final quantification. This preliminary kinetic data collection allows the system to identify and account for non-specific binding patterns before determining the final analyte concentration. The method establishes baseline binding behavior early in the process, which is then used to correct or adjust final measurements.
Solution Approach 2:
The patent applies feedback by using the binding measurements from multiple time points to inform and adjust the interpretation of subsequent measurements. The kinetic data from earlier time points provides feedback about the binding characteristics of the system, allowing the analysis to distinguish specific from non-specific binding and improve the accuracy of final quantification.
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 enables precise identification and quantification of biomarkers by isolating specific binding from non-specific interactions, reducing false positives and improving the accuracy of biomarker detection and diagnosis.
Implementation Method 1
passing a fluid sample containing a labeled analyte across at least one assay surface containing a capture agent for the analyte
Implementation Method 2
detecting the labeled analyte; repeating the passing and detecting steps at least once; and creating a binding curve for the analyte based on the detecting of the labeled analyte
Data Source
AI summary
The invention relates to macro and small molecule detection and, more particularly, to methods for detecting macro and small molecules, including bio-molecules, in a liquid or gaseous sample.