Adaptive Titration Time Interval Control for Analyte Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automated titration systems face challenges in accurately determining the endpoint of chemical reactions and are inefficient in terms of time and reagent usage, particularly when monitoring chemical processes that require frequent measurements.
Innovation Solution
A method and system where a controller initiates a series of titration processes with adjustable time intervals based on analyte concentration variations, reducing the interval when significant changes occur and increasing it when variations are minimal, and adjusts the reagent injection rate accordingly to optimize reagent use and reaction control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated titration systems use fixed time intervals for measurements, then the system operation is simple, but the efficiency of chemical process monitoring deteriorates when significant concentration changes occur
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed time interval to a variable time interval based on analyte concentration changes. The system dynamically adjusts the time interval between titration measurements according to the observed concentration variations, allowing faster response when changes occur and reduced frequency when stable, thereby improving monitoring efficiency without requiring complex manual intervention
Solution Approach 2:
The patent implements feedback by using the detected analyte concentration from each titration to determine the time interval for the next measurement. The controller compares current concentration to previous concentrations and adjusts the time interval accordingly, creating a closed-loop system that adapts to process conditions and optimizes monitoring efficiency automatically
2Measurement precision
If automated titration systems perform frequent measurements, then the measurement precision is improved, but the reagent consumption increases
Solution Approach 1:
The system dynamically adjusts measurement frequency based on process conditions. When analyte concentration changes are detected, the time interval is reduced to maintain precise monitoring. When concentration is stable, the time interval is increased to reduce reagent consumption. This dynamic adaptation allows the system to maintain measurement precision when needed while minimizing reagent usage during stable periods
Solution Approach 2:
The patent changes the parameter of time interval between measurements based on observed concentration variations. By adjusting this parameter dynamically, the system optimizes the balance between measurement precision and reagent consumption, performing more frequent measurements when precision is critical and fewer measurements when reagent savings are prioritized
3Speed
If automated titration systems use standard fixed intervals, then the system is easy to operate, but the response time to process changes deteriorates
Solution Approach 1:
The system performs self-service by automatically detecting concentration changes and adjusting time intervals without operator intervention. The controller monitors analyte concentration, compares it to previous values, and autonomously modifies the measurement frequency to optimize response time. This eliminates the need for manual system reconfiguration while enabling rapid response to process changes
Solution Approach 2:
The system uses feedback from concentration measurements to automatically adjust the time interval for subsequent measurements. When concentration changes are detected, the feedback mechanism triggers a reduction in time interval, enabling the system to respond rapidly to process changes while maintaining ease of operation through automated decision-making
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
This approach allows for quicker process stabilization and more efficient reagent use by reducing unnecessary measurements and adjusting reagent flow rates, thereby improving the efficiency and accuracy of chemical process monitoring.
Implementation Method 1
a titrant is added to a solution in which it reacts with select components thereof. Once the entirety of the reacting component has reacted with the known titrant, a measurable or noticeable change occurs, indicating the reaction is complete.
Data Source
AI summary
Systems for quantifying a target analyte concentration in a process solution are provided and can be used, for example, in methods for quantifying a target analyte concentration. These systems and methods include continuous automated titration methods that use titration chemistries to measure the target analyte concentration in the process solution. The method steps provide for efficient and robust automated titration methods for a variety of target analytes and can include methods that provide for methods that provide a dynamic range for measurement of target analyte concentrations.