Chromatographic Analysis Flag Categorization for Multi-Analyte Results
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional multi-analyte quantification software struggles to efficiently interpret and flag multiple numerical information types in multi-component analyses, making it difficult for operators to identify abnormal or requiring further examination samples, especially for non-experts.
Innovation Solution
A chromatographic analyzer and program that allow users to set flexible flag conditions and determination categories based on multiple numerical information types, enabling visual discrimination of sample and compound combinations into 'pass', 'fail', or 'inconclusive' categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional multi-analyte quantification software displays all numerical information (quantitative values, peak area values, signal-to-noise ratios, symmetry factors, retention-time differences, etc.) with individual flagging functions, then the software provides comprehensive monitoring of multiple parameters, but the user cannot efficiently interpret which results require checking when multiple flags are set for one compound
Solution Approach 1:
The patent segments the interpretation process by introducing a determination-result category that divides multiple numerical information types into distinct evaluation groups. Instead of presenting all flags equally, the system categorizes them into determination results (e.g., determination A, determination B) that guide users on which aspects require attention, thereby resolving the confusion caused by multiple simultaneous flags.
Solution Approach 2:
The determination-result category acts as an intermediary between the multiple numerical information flags and the user's interpretation. Rather than directly presenting raw flags, the system introduces this intermediate classification layer that synthesizes multiple flags into meaningful determination results, making the information more interpretable and actionable for users.
2Reliability
If the software provides detailed flagging for each numerical information type, then comprehensive data analysis is achieved, but non-expert operators find it difficult to understand and interpret the results
Solution Approach 1:
The patent changes the parameter of information presentation by transforming multiple detailed numerical parameters into a simplified determination-result category. This parameter transformation maintains the comprehensiveness of data analysis while adapting the output format to be more accessible to non-expert operators who cannot interpret raw numerical flags effectively.
3Reliability
If multiple flags are set for different numerical information in one compound, then thorough quality control is performed, but it becomes difficult to automatically judge whether the sample itself has problems
Solution Approach 1:
The patent segments the quality control evaluation by creating distinct determination-result categories (determination A, determination B, etc.) that group related numerical information. This segmentation enables automatic judgment by providing structured categories that can be systematically evaluated, rather than requiring manual interpretation of scattered individual flags.
Solution Approach 2:
The determination-result category serves as an intermediary that bridges the gap between raw numerical flags and automatic judgment. By introducing this intermediate classification layer, the system enables automated evaluation algorithms to systematically assess sample quality based on categorized determination results, rather than attempting to directly interpret multiple unstructured flags.
Data Source
AI summary
In a multi-analyte multi-component analysis, multiple kinds of numerical information are obtained for each sample as measurement and data-analysis results for multiple compounds. A threshold-based flag condition is set for each of two or more kinds of numerical information according to user operations. Multiple categories, each having a determination condition including the combination of the presence/absence of the flags corresponding to the two or more kinds of numerical information, are set according to user operations. For each sample-compound combination, each kind of numerical information is tested as to whether it satisfies the flag condition, and is flagged if it satisfies the condition. Each sample-compound combination is tested as to the presence/absence of the flags according to the determination condition of each category, to identify combinations belonging to any category. The identified combinations are displayed, with each combination related to the corresponding category or each category visually distinguished from the other.