Multiple Sample Chromatography Analysis via Spectrum-Based Peak Separation
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Solution Overview
Problem
Liquid chromatography analysis of multiple samples with a common main component is inefficient due to the need for long analysis times to achieve high peak separation, making it impractical for large numbers of samples due to high costs and human resource requirements.
Innovation Solution
A multiple sample analysis method involving a first chromatography analysis with high separation degree for some samples to acquire spectrum data, followed by a second analysis with lower separation degree but faster processing for other samples, using peak separation processing based on the initial spectrum data to achieve accurate peak separation for all samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If analysis conditions are adjusted to completely separate component peaks (by adjusting filler, increasing column length, or narrowing inner diameter to reduce mobile phase flow rate), then peak separation quality is improved, but analysis time becomes excessively long
Solution Approach 1:
The patent applies preliminary action by performing a first chromatography analysis on a reference sample to acquire high-quality spectrum data before analyzing the remaining samples. This preliminary analysis establishes the spectral characteristics needed for subsequent peak separation processing, allowing faster analysis conditions to be used while still achieving accurate peak separation through computational methods.
Solution Approach 2:
The patent uses copying by applying peak separation processing based on spectrum data obtained from the first analysis to the three-dimensional chromatograms of other samples. Instead of performing time-consuming high-separation analyses on all samples, the method copies the spectral information from the reference analysis and applies it computationally to separate peaks in other samples' chromatograms obtained under faster, lower-separation conditions.
2Measurement precision
If long-time analysis under high separation conditions is performed on all samples, then accurate peak separated data is obtained for all samples, but total analysis time and cost become enormous
Solution Approach 1:
The patent applies segmentation by dividing the sample set into two groups: a first sample used for acquiring reference spectrum data through high-separation analysis, and other samples analyzed under faster conditions with peak separation processing applied. This segmentation allows the time-consuming high-precision analysis to be performed only once on a reference sample while still enabling accurate analysis of all other samples through computational peak separation.
Solution Approach 2:
The patent performs preliminary action by conducting the first chromatography analysis on a reference sample before analyzing the remaining samples. This preliminary analysis establishes the spectral characteristics needed for subsequent peak separation processing, allowing faster analysis conditions to be used for the majority of samples while maintaining accuracy through the pre-acquired spectral reference data.
3Manufacturing precision
If high separation degree analysis is performed on all samples, then component peaks are completely separated, but the time required to complete analysis of one sample becomes unacceptably long
Solution Approach 1:
The patent applies mechanics substitution by replacing the mechanical/physical process of achieving complete peak separation through extended chromatography analysis with a computational approach. Instead of relying solely on physical separation mechanisms (column length, flow rate, filler) for all samples, the method uses peak separation processing algorithms based on spectrum data to achieve complete separation computationally, allowing faster physical analysis conditions to be used.
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 method allows for efficient analysis of multiple samples by reducing the time required to acquire peak-separated data for all samples, achieving high accuracy without the need for prolonged analysis of all samples under high separation conditions.
Implementation Method 1
executing first chromatography analysis using a photodiode array under a condition that a plurality of components contained in the sample can be separated from each other
Data Source
AI summary
A first analysis step of acquiring a three-dimensional chromatogram of at least one sample by executing, for the sample, first chromatography analysis using a photodiode array under a condition that a plurality of components contained in the sample can be separated from each other, and extracting spectrum data of each of a plurality of the components contained in the sample from the three-dimensional chromatogram of the sample, a second analysis step of executing second chromatography analysis using a photodiode array on another sample whose main component is the same as that of the sample under a condition that a three-dimensional chromatogram can be obtained in a shorter time than the first chromatography analysis to acquire a three-dimensional chromatogram of the another sample, and a peak separation step of acquiring peak separated data for the another sample in which peaks of a plurality of components contained in the another sample are separated from each other are included by applying peak separation processing based on the spectrum data extracted in the first analysis step to the three-dimensional chromatogram of the another sample acquired in the second analysis step.