Ion-Selective Electrode Error Diagnosis via Potential Change Analysis
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Solution Overview
Problem
Conventional analysis devices using ion selective electrodes face challenges in identifying and rectifying measurement errors caused by installation environment and component defects, which affect measurement accuracy.
Innovation Solution
An analysis device equipped with an ion selective electrode, reference electrode, measurement unit, analyzer, and storage that analyzes abnormality by measuring potential changes and comparing them against stored abnormality data to identify and rectify errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional analysis devices measure potential difference using ion selective electrodes, then ion concentration can be obtained, but measurement errors occur due to air bubbles, vibration, and electrical noise that are difficult to identify and rectify
Solution Approach 1:
The system performs preliminary actions by measuring drive timing signals from each component before actual ion concentration measurement, establishing a baseline of normal operation. This allows the system to proactively identify potential error sources (air bubbles, vibration, electrical noise) before they affect measurement accuracy, enabling preventive rectification rather than reactive troubleshooting.
Solution Approach 2:
The system implements feedback by continuously monitoring drive timing signals from components (pumps, valves, syringe drivers) and comparing them against expected timing patterns. When deviations are detected, the system provides feedback to identify the specific component causing measurement errors, enabling targeted rectification actions to restore measurement reliability.
2Adaptability or versatility
If multiple components are used in the analysis device, then measurement functionality is enhanced, but the complexity of identifying error causes increases
Solution Approach 1:
The system applies segmentation by dividing the error identification process into component-specific analyses. Each component (pump, valve, syringe driver) has its dedicated drive timing signal monitored independently. This segmentation allows the system to isolate and identify error causes in individual components rather than treating the entire system as a black box, significantly reducing identification complexity despite multiple components being present.
Solution Approach 2:
The system introduces drive timing signals as intermediary indicators between component operation and measurement quality. Instead of directly analyzing complex interactions between multiple components, the system uses timing signals as intermediaries to translate component status into interpretable error information, simplifying the identification process while maintaining comprehensive monitoring capability.
3Measurement precision
If error causes are not identified and rectified, then measurement accuracy deteriorates, but time and resources are wasted on troubleshooting
Solution Approach 1:
The system performs preliminary error identification by analyzing drive timing signals before conducting ion concentration measurements. This preliminary action detects potential error sources (air bubbles, vibration, electrical noise) in advance, allowing rectification to be performed before accuracy deterioration occurs, thereby eliminating the need for time-consuming troubleshooting after erroneous measurements are obtained.
Solution Approach 2:
The system implements self-service by automatically monitoring its own operational status through drive timing signals and autonomously identifying error causes. This self-diagnostic capability eliminates the need for external troubleshooting intervention, allowing the system to maintain measurement accuracy through automatic error detection and rectification, thereby saving both time and resources.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device can accurately identify and rectify measurement errors in real-time, reducing the time required to specify error causes and improving measurement throughput.
Implementation Method 1
The activity (concentration) of a target ion is obtained by measuring a potential difference generated between the ion selective electrode and the reference electrode
Implementation Method 2
a measurement unit that measures an electromotive force between the ion selective electrode and the reference electrode
Data Source
AI summary
An analysis device measures ion concentration in a sample to detect an abnormality using an ion selective electrode. The analysis device includes an ion selective electrode that obtains a potential based on the ion concentration, a reference electrode that obtains a potential based on a reference liquid, a measurement unit that measures an electromotive force between the ion selective electrode and the reference electrode, an analyzer that analyzes a potential change of the electromotive force in a certain time region, and a storage that stores abnormality analysis data indicating a relation between the potential change and an abnormality of the analysis device. The analyzer acquires a parameter for the potential change of the electromotive force measured by the measurement unit, and analyzes the abnormality of the analysis device based on the parameter and the abnormality analysis data stored in the storage.