Biosensor Sensor Response Curve Evaluation Automation

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Solution Overview

Problem

Existing biosensor systems, such as the BIACORE® system, face challenges in efficiently evaluating large data sets of molecular binding interactions, requiring manual assessment of sensorgrams for reliable kinetic and affinity data, which is time-consuming and prone to errors due to the need for precise determination of steady state conditions.

Innovation Solution

A method and system for evaluating interaction parameters using predefined binding behavior criteria, where sensor response curves are analyzed and graphically distinguished based on specific criteria, automating the identification of abnormal binding behaviors and improving data evaluation throughput.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual assessment of sensorgrams is performed to ensure reliable kinetic and affinity data, then measurement precision is improved, but productivity deteriorates due to time-consuming evaluation

Engineering Contradiction:

Improvereliability of kinetic and affinity dataVSAvoidevaluation throughput

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system performs self-evaluation by automatically analyzing sensorgrams against predefined binding behavior criteria. The computer automatically identifies abnormal binding behaviors, determines steady state conditions, and evaluates interaction parameters without requiring manual intervention, thus maintaining measurement precision while significantly improving productivity

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical assessment process with an automated computer-based analysis system. The computer applies mathematical algorithms and predefined criteria to evaluate sensorgrams, substituting human manual assessment with automated computational analysis that maintains precision while eliminating time constraints

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If manual evaluation is used to identify abnormal binding behaviors, then measurement precision is improved, but loss of time increases due to detailed assessment requirements

Engineering Contradiction:

Improveaccuracy of binding behavior identificationVSAvoidtime for data evaluation

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary automated evaluation of all sensorgrams using predefined binding behavior criteria before detailed analysis. By pre-identifying abnormal binding behaviors through automated criteria checking, the system reduces the time required for subsequent detailed manual assessment while maintaining accurate identification of abnormal patterns

Inventive Principle:

Principle #10Preliminary action

3Reliability

If comprehensive manual analysis of all sensorgrams is performed, then reliability of interaction parameters is improved, but productivity deteriorates due to resource intensity

Engineering Contradiction:

Improvereliability of interaction parametersVSAvoidscreening throughput

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent segments the evaluation process into distinct automated stages: initial screening against binding behavior criteria, identification of abnormal patterns, steady state determination, and interaction parameter calculation. This segmentation allows comprehensive analysis to be performed systematically and automatically, maintaining reliability while improving productivity by eliminating manual intervention at each stage

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The computer system performs self-service by automatically executing the complete analysis workflow without manual intervention. The system independently evaluates all sensorgrams, identifies abnormal behaviors, determines steady state conditions, and calculates interaction parameters, thereby maintaining comprehensive analysis reliability while significantly increasing screening throughput

Inventive Principle:

Principle #25Self-service

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 enhances the evaluation throughput by automatically identifying and categorizing binding behaviors, focusing resources on primary interactions and improving the overall screening efficiency by providing a more comprehensive analysis of interaction parameters.

Implementation Method 1

which uses surface plasmon resonance (SPR) for detecting interactions between molecules in a sample and molecular structures immobilized on a sensing surface

Methodology Applied

Scientific EffectSurface plasmon resonance: Resonance

Data Source

PatentUS10151694B2Method and system for sensor response curve evaluation

Publication Date: 2018.12.11 CYTIVA SWEDEN AB

AI summary

A method of evaluating an interaction parameter for the interaction between a plurality of analytes and a ligand using a biosensor, which comprises the steps of:A: providing a sensor surface having the ligand immobilized thereto,B: contacting the sensor surface with the plurality of analytes,C: registering a sensor response curve for each one of the plurality of analytes,D: extracting interaction parameters from each sensor response curve,E: evaluating each sensor response curve according to one or more binding behavior criteria,F: displaying the interaction parameters in a diagram, wherein interaction parameters relating to response curves meeting a binding behavior criteria are graphically distinguishable from interaction parameters relating to response curves meeting another or no binding behavior criteria.