Analyte Sensor Dynamic Bias Control for Insulin Interference
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Solution Overview
Problem
Analyte sensors, such as glucose sensors, are prone to interference from compounds like acetaminophen, ascorbate, and urate, leading to signal degradation and reduced sensitivity, especially when insulin is injected nearby, affecting sensor longevity and accuracy.
Innovation Solution
An analyte sensor with a working electrode biased at a first voltage value, which adjusts to a second, lower voltage upon detecting interferents like insulin, using electrochemical impedance spectroscopy (EIS) or conductivity values to compensate for interference, and adjusts bias voltage based on insulin presence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the sensor uses a fixed bias voltage to measure analyte, then the measurement is simple and stable, but interferents cause signal degradation and reduced sensitivity
Solution Approach 1:
The patent implements dynamic bias voltage adjustment by transitioning from a fixed voltage system to one that continuously adapts the bias voltage based on real-time detection of interferent presence. The controller modifies the bias voltage applied to the working electrode in response to detected interferents, optimizing measurement accuracy under varying conditions while managing complexity through automated control logic.
Solution Approach 2:
The system changes the electrical parameter (bias voltage) of the working electrode based on detected interferent concentrations. By adjusting the bias voltage parameter dynamically, the sensor compensates for interferent effects on the amperometric signal, maintaining reliable analyte measurements despite the presence of electroactive interferents in the sample matrix.
2Measurement precision
If the sensor operates at high sensitivity to detect analyte, then detection precision is improved, but interferents cause false readings and signal confounding
Solution Approach 1:
The patent implements a feedback mechanism where the sensor system continuously monitors for interferent presence and automatically adjusts the bias voltage in response. The controller receives information about interferent detection and feeds this back to modify the operating conditions, creating a closed-loop system that maintains measurement precision by compensating for interferent effects in real-time.
Solution Approach 2:
The bias voltage acts as an intermediary parameter that mediates between the analyte signal and interferent interference. By adjusting this intermediate electrical parameter, the system can enhance analyte detection precision while simultaneously suppressing the harmful effects of interferents that would otherwise confound the measurement signal.
3Duration of action of stationary object
If the sensor maintains constant bias voltage for stable operation, then operational simplicity is maintained, but sensor longevity is reduced due to interferent degradation
Solution Approach 1:
The system transitions from static to dynamic voltage operation, where the bias voltage automatically adapts to protect the sensor. By implementing dynamic voltage adjustment based on interferent detection, the sensor extends its operational life without requiring complex manual intervention, as the protection mechanism operates autonomously through integrated control logic.
Solution Approach 2:
The sensor system performs self-protection by automatically detecting interferent presence and adjusting its own bias voltage to prevent degradation. This self-service mechanism extends sensor longevity without external intervention, as the integrated controller autonomously manages the voltage adjustment to protect the working electrode from interferent damage.
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
Improves sensor sensitivity and longevity by reducing interference from insulin, maintaining accurate glucose readings and extending sensor life.
Implementation Method 1
The glucose oxidase is used to catalyze the reaction between glucose and oxygen to yield gluconic acid and hydrogen peroxide, H2O2
Implementation Method 2
The hydrogen peroxide reacts electrochemically as shown in Equation 2, and the current can be measured by a potentiostat
Implementation Method 3
determine at least one of a first electrochemical impedance spectroscopy (EIS) parameter value or a first conductivity value in response to exposure of the working electrode to the analyte
Implementation Method 4
determine at least one of a first electrochemical impedance spectroscopy (EIS) parameter value or a first conductivity value in response to exposure of the working electrode to the analyte
Data Source
AI summary
An analyte sensor configured to compensate for insulin interference includes: a working electrode, including an analyte sensing molecule disposed on the working electrode configured to generate a signal when exposed to an analyte; a processor; and a memory. The memory includes instructions which, when executed by the processor, cause the sensor to: obtain an indication from the pump that the bolus is delivered; in response to the delivery of the bolus, determine at least one of a first electrochemical impedance spectroscopy (EIS) parameter value or a first conductivity value in response to exposure of the working electrode to the analyte; and determine a presence of one or more interferents based on at least one of the first EIS parameter value or the first conductivity value.