Chromatogram Component Identification Method

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Solution Overview

Problem

Existing data processing systems require trial and error to set an appropriate identification method for components in chromatograms, leading to a user burden in achieving accurate identification results.

Innovation Solution

A computer-executable setting method that determines whether each component is distinguishable based on peak information, setting a first identification method for distinguishable components and another identification method for indistinguishable components, using peak parameters such as area, height, and position.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If trial and error method is used to set identification method, then appropriate identification method can be found, but user burden increases and time is consumed

Engineering Contradiction:
Improveidentification accuracyVSAvoidtime for setting identification method
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of peak information (area, height, position) before the user needs to set the identification method. By pre-evaluating the distinguishability of each component based on these parameters, the system prepares the necessary data and recommendations in advance, eliminating the need for trial-and-error adjustments during the actual identification process.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system automatically determines the appropriate identification method for each component by analyzing peak information itself, without requiring user intervention or trial-and-error testing. The system serves itself by autonomously evaluating component distinguishability and selecting the most suitable identification method based on the analyzed data.

Inventive Principle:
Principle #25Self-service

2Measurement precision

If trial and error method is used to set identification method, then appropriate identification method can be found, but operation complexity increases

Engineering Contradiction:
Improveidentification accuracyVSAvoidease of setting identification method
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically determines the appropriate identification method for each component by analyzing peak information itself, without requiring user intervention or trial-and-error testing. The system serves itself by autonomously evaluating component distinguishability and selecting the most suitable identification method based on the analyzed data.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system introduces an intermediary analysis layer that processes peak information (area, height, position) and translates it into recommended identification methods. This intermediary process bridges the gap between raw chromatogram data and identification method selection, eliminating the need for users to manually test different methods.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Ease of operation

If automatic identification is implemented, then user burden is reduced, but identification accuracy may deteriorate without proper method selection

Engineering Contradiction:
Improveease of setting identification methodVSAvoididentification accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The system analyzes multiple parameters (peak area, height, position) to determine component distinguishability and selects identification methods based on these parameter variations. By dynamically adjusting the identification approach according to the specific parameter characteristics of each component, the system maintains high accuracy while automating the process.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system applies different identification methods to different components based on their individual characteristics analyzed from peak information. Instead of using a uniform approach, each component receives a tailored identification method suited to its specific distinguishability properties, ensuring optimal accuracy for each case.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20250067709A1Setting method and setting device
Publication Date: 2025.02.27 SHIMADZU CORP
  • US20250067709A1 patent drawing
  • US20250067709A1 patent drawing
  • US20250067709A1 patent drawing

AI summary

A processor of a setting device obtains a plurality of pieces of peak information respectively corresponding to a plurality of components, determines whether or not one component of the plurality of components is distinguishable from another component other than the one component based on a value of a first peak parameter indicating a feature of a peak included in each of the plurality of pieces of peak information, sets, to a first identification method that is based on the first peak parameter, an identification method for a component that is distinguishable from the other component based on the first peak parameter among the plurality of components, and sets, to another identification method different from the first identification method, an identification method for a component that is not distinguishable from the other component among the plurality of components based on the first peak parameter.