Liquid Chromatography Data Processing Device Using Logarithmic Axes
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Solution Overview
Problem
Current chromatography data processing methods fail to intuitively visualize the influence of column filler particle size on separation performance, particularly in liquid chromatography, making it difficult to understand how changes in flow velocity and column length affect the theoretical number of plates and pressure-driven strength.
Innovation Solution
A liquid chromatography data processing device that generates graphical data using logarithmic axes to display the relationship between analysis conditions and separation performance, allowing users to easily determine the impact of column filler particle size on separation efficiency by overlaying curves with constant lengths and visualizing the influence of the C term in the van Deemter equation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional chromatography data processing methods are used, then data can be processed, but the influence of column filler particle size on separation performance cannot be intuitively visualized
Solution Approach 1:
The patent transforms the traditional two-dimensional presentation of chromatography data into a three-dimensional visualization system. The third dimension represents the influence of column filler particle size on separation performance, allowing users to intuitively perceive the relationship between particle size, flow velocity, and theoretical plate number. This dimensional transformation resolves the contradiction by providing comprehensive visualization without increasing processing complexity.
Solution Approach 2:
The patent introduces a new parameter representation method that visualizes the C term in the van Deemter equation as a function of particle size. By changing how particle size influence is parameterized and displayed, the system makes previously hidden relationships visible. This parameter transformation approach enables intuitive understanding of particle size effects without complicating the data processing methodology.
2Measurement precision
If traditional graphical displays are used, then analysis conditions can be shown, but the relationship between flow velocity, column length, and theoretical number of plates is not clear
Solution Approach 1:
The patent applies local quality enhancement by selectively emphasizing different aspects of the chromatography parameters in different regions of the visualization. The system highlights the relationship between flow velocity and theoretical plates in specific zones, while separately illustrating the impact of column length and particle size. This localized information presentation improves measurement precision without overwhelming the user, making the complex relationships easier to understand.
Solution Approach 2:
The patent introduces an intermediary visualization layer that mediates between raw chromatography data and user understanding. This intermediate representation transforms complex multi-parameter relationships into an intuitive graphical format that clearly shows how flow velocity, column length, and particle size collectively influence theoretical plate number. The intermediary visualization resolves the contradiction by bridging the gap between precise measurement data and ease of interpretation.
3Reliability
If detailed chromatography data is processed, then separation performance can be analyzed, but the C term influence and particle size effects remain hidden
Solution Approach 1:
The patent applies preliminary action by pre-calculating and pre-visualizing the C term influence and particle size effects before the user performs detailed analysis. The system proactively processes the van Deemter equation components and prepares the particle size influence data in advance, making this information immediately available in the graphical display. This preliminary processing ensures that no critical information is lost during analysis while maintaining reliable separation performance evaluation.
Solution Approach 2:
The patent implements a nested information structure where the C term influence and particle size effects are embedded within the overall separation performance analysis. The visualization nests multiple levels of information: the outer layer shows general separation performance, while inner layers reveal the specific contributions of the C term and particle size. This nested approach preserves all critical information while maintaining clear and reliable analysis without information loss.
Data Source
AI summary
In order to obtain analysis conditions, there is provided a liquid chromatography data processing device which generates, based on data regarding analysis conditions of a chromatography device and data on separation performance, display data that displays a graph showing correspondence of data regarding analysis conditions of the chromatography device and separation performance, generating a first group of biaxial data regarding the above analysis conditions, second group of biaxial data obtained by calculation comprising multiplication and/or division of two data of the first group of biaxial data, and display data according to a graph showing correspondence of the data regarding separation performance, wherein at least each axis of the first group of biaxial data and the second group of biaxial data is represented as a logarithmic axis.


