Measurement Value Correction Using Virtual Pooled QC References
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Solution Overview
Problem
Existing methods for correcting measurement errors in analysis devices, such as mass spectrometers, require the preparation of a pooled QC, which can be difficult for solid samples, time-consuming, and limits the number of samples that can be analyzed per unit time.
Innovation Solution
A data processing method that estimates reference values based on previous measurement data to correct measurement values without preparing a pooled QC, using In silico analysis to calculate reference values that mimic the behavior of a pooled QC, allowing for inter-batch corrections and reducing preparation time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a pooled QC is prepared by mixing all samples in equal amounts, then measurement values can be corrected accurately, but preparation time increases and the number of samples analyzed per unit time decreases
Solution Approach 1:
The patent creates a virtual pooled QC through computational methods instead of physically mixing samples. The system calculates expected pooled QC values by computationally combining measurement data from individual samples, then uses these calculated values for correction. This copying approach eliminates the time-consuming physical preparation while maintaining the correction accuracy that would result from actual pooled QC measurement.
Solution Approach 2:
The patent performs preliminary computational preparation of reference values and correction factors using measurement data before the actual correction process. By pre-calculating the pooled QC characteristics and correction parameters from available sample data, the system eliminates the need for time-consuming post-measurement pooled QC preparation and measurement, thereby increasing productivity while maintaining correction accuracy.
2Adaptability or versatility
If a pooled QC is prepared by mixing all samples, then correction can be performed for unknown components, but preparation becomes difficult for solid samples
Solution Approach 1:
The patent replaces the mechanical/physical process of mixing solid or liquid samples to create pooled QC with a computational data processing system. Instead of physically combining samples, the system computationally aggregates measurement data from individual samples to generate virtual pooled QC values. This substitution eliminates preparation difficulties for solid samples while maintaining the ability to detect and correct unknown components through the same computational correction algorithms.
3Measurement precision
If pooled QC measurement is performed in between sample measurements, then measurement error can be corrected, but total measurement time increases
Solution Approach 1:
The patent performs preliminary computational calculation of pooled QC reference values and correction factors using measurement data that is already available before the correction step. By pre-computing correction parameters from initial sample measurements, the system eliminates the need for additional time-consuming pooled QC measurements in between samples, thereby reducing total measurement time while maintaining error correction capability.
Data Source
AI summary
A data processing method is performed by a computer to correct measurement values of a prescribed component obtained by measurement with an analysis device. The data processing method includes: receiving the measurement values; and calculating a first reference value and a second reference value using the measurement values. The data processing method includes correcting the measurement values using the first reference value and the second reference value.