Multiplex Analytic Device Calibration With Stream-Specific Adjustments
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Solution Overview
Problem
Existing methods for calibrating analytical devices with repeated hardware components either result in biased analytical results due to average calibration functions or an excessively high calibration burden when using individual stream calibrations, making them impractical for high-performance liquid chromatography (HPLC) multiplexing systems.
Innovation Solution
A method that involves providing calibrator samples with known target values, measuring detector signals across multiple hardware components, and determining a parametrized function with analyte-specific and hardware-adjustment parameters to establish a calibration function that balances accuracy and efficiency by using a combination of average and stream-specific adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individually fitted calibration functions are used for each hardware component, then measurement precision is improved, but device complexity and calibration burden increase significantly
Solution Approach 1:
The calibration function is segmented into two distinct parts: a common calibration function that applies to all hardware components, and individual adjustment factors specific to each component. This segmentation allows the system to capture both the general calibration relationship and the component-specific variations without requiring fully separate calibration procedures for each component.
Solution Approach 2:
Instead of applying a uniform calibration approach to all hardware components, the method introduces local adjustment factors that are specific to each individual component. These adjustment factors allow each component to have its own calibrated characteristics while sharing the common calibration framework, thereby improving measurement precision for each component without requiring completely separate calibration procedures.
2Device complexity
If a single average calibration function is used for all hardware components, then calibration burden is reduced, but measurement precision deteriorates due to bias in analytical results
Solution Approach 1:
The method enhances the simple average calibration approach by introducing component-specific adjustment factors. Each hardware component receives the common calibration function plus its own tailored adjustment, ensuring that local variations in component performance are accounted for. This maintains the low calibration burden of a single average function while eliminating the bias that would otherwise affect analytical results.
Solution Approach 2:
The calibration process incorporates feedback mechanisms where the individual adjustment factors are determined based on measured deviations from the common calibration function. These adjustment factors are then used to correct subsequent measurements, creating a feedback loop that continuously improves measurement precision while maintaining the simplicity of the overall calibration approach.
3Measurement precision
If more calibrator levels are used to establish a full calibration model, then measurement precision is improved, but loss of time and productivity decrease
Solution Approach 1:
The calibration model is segmented into a common calibration function that can be established with a standard number of calibrator levels, and individual adjustment factors that require minimal additional calibration data. This segmentation allows the system to achieve high calibration model accuracy without requiring an excessive number of calibrator levels for each individual component.
Solution Approach 2:
The method merges the calibration data from multiple hardware components into a single common calibration function, while simultaneously extracting individual adjustment factors from the same or minimal additional data. This combining approach allows the system to achieve comprehensive calibration accuracy across all components without requiring separate extensive calibration procedures for each component, thereby reducing total calibration time.
Data Source
AI summary
A method for calibrating at least one analytic device with repeated hardware components is disclosed and comprises providing at least one calibrator sample i having a known target value of a concentration of at least one analyte; at least one measuring step, wherein the measuring step comprises conducting at least one measurement on the calibrator sample using the analytic device, wherein at least one detector signal sijk is acquired; at least one calibration step, wherein a relationship between the detector signal and the concentration of the analyte and/or between the detector signal and a theoretical signal value is determined, wherein the calibration step comprises providing at least one parametrized function; determining calibration values by conducting a calibration based on the parametrized function; and determining an analysis function on basis of an inverse of the parametrized function and the determined calibration values.


