Capillary Immunoassay Quantification of Broad Glycoconjugate Signals
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Solution Overview
Problem
Current capillary-based immunoassay methods fail to provide reliable quantitative data for glycoconjugates, particularly bioconjugates, which generate broad signals with non-resolved peaks, and lack accurate identification and absolute quantification of closely-related glycoconjugates differing in polysaccharide components.
Innovation Solution
A method using a capillary-based immunoassay system with a computer program that integrates the entire signal area by setting molecular weight range limits, subtracts background signals, and generates a calibration curve for accurate quantification of glycoconjugates, especially bioconjugates, by employing glycan-specific antibodies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If capillary-based immunoassay methods are used for glycoconjugate analysis, then automation and analysis time are improved, but reliable quantification of broad signals with non-resolved peaks deteriorates
Solution Approach 1:
The patent segments the broad signal into multiple individual peak areas through computational deconvolution. The computer program divides the integrated signal area into distinct peak components, allowing accurate quantification of each glycoconjugate variant even when they appear as a broad unresolved envelope in the capillary electrophoresis data.
Solution Approach 2:
The patent introduces a computer program with specialized algorithms as an intermediary between the capillary-based immunoassay system and the quantification process. This software mediator performs background subtraction, signal integration, and peak deconvolution to extract accurate quantitative data from broad signals that cannot be directly measured.
2Ease of operation
If standard capillary-based immunoassay methods are used, then manual labor is reduced, but identification and quantification of closely-related glycoconjugates deteriorates
Solution Approach 1:
The patent implements dynamic, adjustable parameters in the computer program including variable integration limits, adaptive background subtraction regions, and flexible peak deconvolution algorithms. These dynamic settings allow the system to adapt to different signal shapes and resolutions, enabling accurate differentiation of closely-related glycoconjugates without increasing manual intervention.
Solution Approach 2:
The patent incorporates feedback mechanisms where the computer program iteratively refines peak area calculations based on the detected signal characteristics. The system uses the integrated signal information to adjust and optimize the segmentation of individual peak areas, providing accurate quantification of closely-related glycoconjugates that would otherwise be indistinguishable.
3Device complexity
If broad signal integration is attempted without background subtraction, then quantification process is simplified, but measurement accuracy deteriorates
Solution Approach 1:
The patent performs background subtraction as a preliminary step before integrating the signal area. The computer program automatically identifies and subtracts the background signal level from the total signal, ensuring that only the analyte-specific signal is integrated. This preliminary action removes a major source of quantification error while the automated algorithm keeps the process straightforward.
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
Enables precise identification and absolute quantification of glycoconjugates, including bioconjugates, even with broad signals, by integrating the whole signal area and subtracting background, thereby overcoming limitations of existing methods.
Implementation Method 1
In such methods, the different components of a sample are separated within a capillary
Implementation Method 2
detected by means of a specific antibody
Data Source
AI summary
The invention provides analytical methods for identifying and quantifying complex glycoconjugate compositions, in particular for the analysis of a glycoconjugate in a sample comprising at least 4 glycoconjugates.