Chromatogram Signal Vector Analysis for Mixture Concentration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current chromatography and electrophoresis methods face challenges in accurately determining the concentration of mixture constituents due to unresolved components and noise, requiring tedious optimization of experimental variables to achieve well-separated peaks, which is time-consuming and lacks guarantee of success.
Innovation Solution
A method and system that convert chromatograms into signal vectors, apply dimensionality reduction techniques, and use support vector regression to process these vectors, allowing for the determination of unknown concentrations without the need for extensive optimization of experimental variables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional chromatography optimization methods are used to achieve well-separated peaks, then measurement precision is improved, but loss of time increases significantly
Solution Approach 1:
The patent applies preliminary action by performing dimensionality reduction and computational analysis on chromatographic data before final interpretation. The system pre-processes the complex chromatographic signals through mathematical transformations (e.g., wavelet transforms, principal component analysis) to extract essential features, thereby avoiding the need for time-consuming experimental optimization iterations while maintaining accurate constituent identification and quantification
2Productivity
If computational optimization techniques are employed to model retention times, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent replaces mechanical/optical chromatographic separation optimization with computational/mathematical methods. Instead of physically adjusting chromatographic parameters (flow rate, temperature, column dimensions) to achieve separation, the system uses computational algorithms to analyze and interpret chromatographic data, substituting physical optimization with mathematical processing that is faster and more predictable
Solution Approach 2:
The patent transforms the chromatographic problem from physical parameter optimization to mathematical parameter transformation. By applying dimensionality reduction techniques and computational models, the system changes the parameter space from physical chromatographic conditions to mathematical representations, enabling rapid analysis without physical optimization iterations
3Measurement precision
If manual chromatography experiments are conducted systematically to resolve peaks, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements self-service by enabling the chromatographic analysis system to automatically process and interpret its own data without manual intervention. The computational algorithms autonomously analyze chromatographic signals, identify constituents, and determine concentrations, eliminating the need for operators to manually optimize experimental conditions or interpret complex chromatograms, thereby improving ease of operation while maintaining accuracy
Data Source
AI summary
The present invention relates to techniques for determining unknown concentration of constituents of any known mixture. The said techniques comprising: obtaining a plurality of chromatograms relating to known concentration of known mixtures and at least one chromatogram relating to unknown concentration of the known mixture; converting each of the chromatograms into signal vectors; condensing the dimensions of each of the signal vectors for obtaining low dimensional signal vectors; processing the low dimensional signal vectors representing the chromatograms relating to known concentrations to obtain output values; and processing the at least one low dimensional signal vector representing the chromatogram relating to unknown concentration by utilizing the obtained output values for determining the unknown concentration of each of the constitutes of the known mixture.