Numerical Analysis for Fluidic Sample Separation Method Transfer
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Solution Overview
Problem
Developing a separation method for fluidic samples between different sample separation apparatuses is cumbersome and time-consuming, requiring numerous experiments and significant sample material, with conventional approaches not optimizing results within the experimental matrix.
Innovation Solution
A process and device that utilize three initial data sets – one for the initial separation method, one for the target apparatus, and one for the fluidic sample properties – to determine a target separation method through numerical analysis, allowing for method transfer between apparatuses, reducing the need for experimental testing and optimizing results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional experimental approaches are used to develop separation methods for different sample separation apparatuses, then separation method development can be achieved, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The patent creates a virtual copy of the separation method through numerical simulation. Instead of physically executing the separation method on the target apparatus, the system generates a simulated chromatogram by copying the separation method parameters and applying them through numerical analysis to predict the expected separation results, thereby avoiding time-consuming physical experimentation
Solution Approach 2:
The patent replaces the mechanical experimental system with a computational numerical analysis system. Instead of physically running separation experiments on the target apparatus, the system uses numerical algorithms to simulate and predict separation behavior, substituting physical experimentation with computational modeling to reduce time and material consumption
2Reliability
If conventional experimental approaches are used to develop separation methods, then separation methods can be determined, but significant sample material is required
Solution Approach 1:
The patent creates a virtual representation of the separation process through numerical simulation. Instead of consuming physical sample material to generate experimental data, the system copies the separation method parameters and uses them in numerical analysis to predict separation outcomes, thereby eliminating the need for significant sample material consumption
Solution Approach 2:
The patent substitutes physical experimentation with computational modeling. The numerical analysis system replaces the need for physical sample processing and experimental measurement, allowing separation method development without consuming significant amounts of sample material
3Manufacturing precision
If conventional experimental approaches are used, then separation methods can be optimized within the experimental matrix, but the process is not automated and requires extensive user expertise
Solution Approach 1:
The patent replaces manual optimization processes with automated numerical analysis. The system automatically adjusts separation parameters by performing numerical simulations and analyzing the results to determine optimal separation conditions, eliminating the need for extensive user expertise and manual experimentation
Solution Approach 2:
The system performs self-optimization through automated numerical analysis. The separation method parameters are automatically adjusted and optimized by the computational system itself through iterative simulation and analysis, without requiring extensive manual intervention or user expertise
Data Source
AI summary
A device for determining a target separation method for separating a fluidic sample by a target sample separation apparatus modifies an initial separation method for an initial sample separation apparatus. The device includes a data provision unit configured for providing a first initial data set characterizing the initial separation method, a second initial data set characterizing properties of the target sample separation apparatus, a third initial data set characterizing properties of the fluidic sample, a fourth initial data set characterizing properties of the initial sample separation apparatus, and a determining unit configured for determining a target data set characterizing the target separation method by carrying out a numerical analysis based on the first initial data set, the second initial data set, the third initial data set, and the fourth initial data set.