Calibration-Free Active Concentration Analysis via Global Kinetic Fitting

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Solution Overview

Problem

Existing methods for determining the active concentration of bioanalytes, such as proteins, often rely on calibration standards that may not be available or have uncertain activity, and do not distinguish between active and inactive molecules, which is a limitation in biotherapeutics development and production.

Innovation Solution

A method for calibration-free concentration analysis (CFCA) that involves contacting a liquid sample with a solid phase surface at multiple dilutions and varying flow rates, using a kinetic interaction model that includes a term for mass transport to determine the active analyte concentration, allowing for a global fit of binding rate data across different dilutions and flow rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If calibration standards are used to determine active concentration, then measurement accuracy can be improved, but reliability deteriorates when standards are unavailable or have uncertain activity

Engineering Contradiction:
Improvemeasurement accuracyVSAvoidreliability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The system uses the analyte's own diffusion properties to determine concentration without external calibration standards. The diffusion coefficient, which is an intrinsic property of the analyte, serves as the reference for calculating active concentration through the relationship between diffusion-limited binding rates and concentration.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The method changes the flow rate parameter to create different mass transport conditions. By measuring binding rates at multiple flow rates and extrapolating to infinite flow rate (where mass transport is no longer limiting), the system determines the true association rate constant and active concentration without needing calibration standards.

Inventive Principle:
Principle #35Parameter changes

2Ease of operation

If total concentration is measured by UV or NIR absorption spectrometry, then ease of operation is improved, but the ability to distinguish active from inactive molecules deteriorates

Engineering Contradiction:
Improveease of operationVSAvoidability to distinguish active from inactive molecules
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The system introduces a specific ligand as an intermediary that selectively binds only to the active form of the analyte. This ligand acts as a mediator between the analyte and the detection system, enabling differentiation between active and inactive molecules through specific molecular recognition rather than general absorption properties.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The method replaces the optical absorption mechanism (UV/NIR spectrometry) with a biomolecular interaction mechanism (ligand binding). Instead of measuring general light absorption properties, the system measures the kinetics of specific ligand-analyte interactions, which inherently distinguish active from inactive molecules based on their binding capability.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If single dilution analysis is performed, then productivity is improved, but measurement precision and dynamic range deteriorate

Engineering Contradiction:
ImproveproductivityVSAvoidmeasurement precision
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system merges multiple dilution analyses into a single global fit procedure. By simultaneously analyzing binding rate data from multiple dilutions with a unified kinetic model that accounts for mass transport effects, the method achieves both improved measurement precision through increased data robustness and maintained productivity through automated integrated analysis.

Inventive Principle:
Principle #5Merging (Combining)

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 enhances the robustness and dynamic range of active concentration determination, enabling accurate measurement without a calibration standard and distinguishing between active and inactive molecules, thus improving the reliability of bioanalyte concentration analysis.

Implementation Method 1

relies upon measurement of analyte binding at varying flow rates under conditions where the observed rate of binding is partially or completely limited by transport of analyte molecules to the sensor surface, i.e. partially or completely controlled by diffusion

Methodology Applied
Scientific EffectDiffusion: Diffusion

Implementation Method 2

contacting a laminar flow of the sample with a solid phase surface or surface area supporting a ligand capable of specifically binding the analyte

Methodology Applied
Scientific EffectSpecific binding: Adsorption

Data Source

PatentEP2726876B1Method of determining active concentration by calibration-free analysis
Publication Date: 2017.10.11 GE HEALTHCARE BIO SCIENCES AB
  • EP2726876B1 patent drawingFigure 1
  • EP2726876B1 patent drawingFigure 2
  • EP2726876B1 patent drawing

AI summary

A method of determining active concentration of an analyte in a liquid sample, comprises the steps of: (a)contacting a laminar flow of the sample with a solid phase surface or surface area supporting a ligand capable of specifically binding the analyte at at least two different flow rates and under partially or completely mass transport limited conditions; (b)determining the initial binding rate dR/dt of analyte to the ligand at the ligand-supporting surface or surface area, and (c) fitting the initial binding rate data obtained in step (b) to a kinetic interaction model that includes a term for mass transport to obtain the active analyte concentration, wherein steps (a) and (b) are performed at a plurality of different dilutions of the liquid sample, and wherein in step (c) at least several of the plurality of dilutions of the liquid sample are in included in a global fit of initial binding rate data to the kinetic interaction model.