Smart Bias Voltage in Analyte Sensors for Insulin Interference
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Solution Overview
Problem
Analyte sensors, such as glucose sensors, are susceptible to interference from insulin injections, leading to reduced sensitivity and signal strength due to interactions with insulin components, and existing technologies fail to effectively mitigate this interference.
Innovation Solution
The sensor employs a working electrode with an analyte sensing molecule, a processor, and a memory that adjusts the bias voltage based on electrochemical impedance spectroscopy (EIS) or conductivity values to compensate for insulin interference by lowering the bias voltage when interferents are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sensor uses a conventional bias voltage to measure hydrogen peroxide, then the sensor can detect glucose levels, but interfering species such as acetaminophen, ascorbate, and urate cause false signals and reduce sensor accuracy
Solution Approach 1:
The patent applies parameter changes by adjusting the bias voltage of the working electrode based on detected interferent levels. When interferents are detected through EIS or conductivity measurements, the system dynamically changes the bias voltage parameter to a level that minimizes interferent oxidation while maintaining glucose detection capability, thereby resolving the contradiction between measurement accuracy and interferent interference
2Adaptability or versatility
If the sensor operates at a fixed bias voltage, then the sensor design is simple, but the sensor cannot adapt to changing conditions when insulin is injected near the sensor
Solution Approach 1:
The patent implements feedback by continuously monitoring EIS or conductivity parameters to detect the presence of interferents, then using this information to adjust the bias voltage accordingly. This closed-loop feedback system enables the sensor to adapt to changing conditions such as insulin injections while maintaining measurement accuracy, resolving the contradiction between adaptability and system complexity
Solution Approach 2:
The patent applies dynamics by transitioning from a static fixed bias voltage to a dynamic adjustable bias voltage that responds to real-time interferent detection. This dynamic adjustment allows the sensor to optimize its performance under varying physiological conditions, particularly when insulin is injected near the sensor site
3Object-affected harmful factors
If the bias voltage is reduced to minimize interferent oxidation, then interferent interference is reduced, but the sensor sensitivity to analyte decreases
Solution Approach 1:
The patent resolves this contradiction through dynamic bias voltage adjustment rather than using a fixed low voltage. The system maintains higher sensitivity by operating at optimal bias voltages when interferents are absent, and only reduces the voltage when interferents are detected, thus preserving analyte signal sensitivity while minimizing interferent oxidation on an as-needed basis
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 enhances sensor accuracy and longevity by reducing interference from insulin, ensuring precise glucose monitoring and maintaining sensitivity.
Implementation Method 1
The hydrogen peroxide reacts electrochemically as shown in Equation 2, and the current can be measured by a potentiostat
Implementation Method 2
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
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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.