Relative Response Factor Detection for Reagent Concentration Monitoring
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Solution Overview
Problem
Creating a calibration curve to measure the concentration of a standard sample for analysis is a complex process, especially when the concentration of the standard sample changes over time.
Innovation Solution
A detection method that involves acquiring first relative response factors from measurements of samples with known concentrations, calculating second relative response factors for the subject sample, and producing information on concentration changes based on these factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a calibration curve is created to measure the concentration of a standard sample, then measurement capability is improved, but operation complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing relative response factors for multiple compounds before actual analysis. These pre-computed factors are stored in a database and automatically retrieved during analysis, eliminating the need to create calibration curves during routine operations. This allows the system to maintain high measurement precision while significantly reducing operational complexity.
Solution Approach 2:
The patent uses copying by creating a virtual calibration model through relative response factors that represent the relationship between compound concentration and detector response. Instead of physically creating calibration curves for each analysis, the system copies and applies pre-established response factor data to different samples, maintaining measurement accuracy while simplifying the operational process.
2Reliability
If another standard sample is measured for creation of a calibration curve to detect concentration changes, then concentration change detection capability is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary action by pre-calculating relative response factors for multiple compounds and storing them in advance. When concentration changes need to be detected, the system simply compares current measurement data against these pre-stored factors, eliminating the time-consuming process of creating new calibration curves while maintaining reliable detection capability.
Solution Approach 2:
The patent applies partial action by measuring and storing relative response factors for multiple compounds simultaneously during a single calibration phase. This excessive preparation allows the system to detect concentration changes for any of these compounds later without requiring additional calibration measurements, significantly reducing time consumption while maintaining detection reliability.
3Measurement precision
If multiple standard samples are measured to account for reagent degradation over time, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by creating a multi-functional relative response factor database that can be used for multiple compounds and multiple analysis scenarios. This single database structure serves as a universal reference for detecting concentration changes across different compounds and time points, maintaining measurement accuracy while avoiding the need for separate calibration systems for each compound.
Solution Approach 2:
The system uses parameter changes by storing relative response factors that capture the relationship between compound properties and detector response under various conditions. These pre-determined parameters allow the system to maintain measurement accuracy for degraded reagents by comparing against the stored reference values, without requiring complex real-time calibration adjustments.
Data Source
AI summary
A detection method includes acquiring at least one first relative response factor obtained by measurement of a sample having a same component as at least one component included in a subject sample at a known concentration and a sample having at least one compound at a known concentration, or at least one first threshold value based on each of the at least one first relative response factor, measuring the subject sample and a sample including the at least one compound, and calculating at least one second relative response factor in regard to at least one component of the subject sample and the at least one compound, and producing first information in regard to a change in concentration of the subject sample based on the at least one first relative response factor or the at least one first threshold value, and the corresponding at least one second relative response factor.