Implantable Sensor Extended Detection Range
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Solution Overview
Problem
Current implantable glucose sensors have a limited range of detection, typically measuring glucose levels within specific ranges (40-400 mg/dL or 150-600 mg/dL), which compromises resolution and accuracy, and are not considered equivalent to blood glucose strip-based systems by the FDA due to these performance limitations.
Innovation Solution
Development of implantable sensors with extended detection ranges and improved accuracy, utilizing multiple analysis regions with contiguous and coextensive ranges of detection, where each region responds differently to analyte concentrations, allowing for broader and more precise glucose monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If implantable sensors are designed to measure glucose levels within a specific range (40-400 mg/dL or 150-600 mg/dL), then measurement precision is improved within that range, but the range of detection is limited and cannot cover both low and high glucose levels simultaneously
Solution Approach 1:
The sensor is divided into multiple analysis regions, each with different reagent concentrations or compositions optimized for specific glucose ranges. This segmentation allows the sensor to maintain high measurement precision across different glucose levels while extending the overall detection range, resolving the contradiction between precision and range.
Solution Approach 2:
Different regions of the sensor are given different local qualities through varying reagent concentrations or types. Each region is specifically tailored to detect particular glucose concentration ranges, enabling the sensor to achieve both high precision within each range and broad overall coverage, thus resolving the contradiction.
2Adaptability or versatility
If implantable sensors are designed with a greater response range, then the range of detection is extended, but resolution and accuracy are severely compromised
Solution Approach 1:
By segmenting the sensor into multiple specialized analysis regions, each region maintains high resolution and accuracy for its specific glucose range while collectively covering a broad spectrum. This prevents the loss of precision that would occur in a single-region sensor attempting to cover the entire range.
Solution Approach 2:
The reagent parameters (concentration, type, or composition) are changed across different regions to match the detection requirements for different glucose levels. This parameter variation enables each region to optimize its measurement precision for its specific range while the sensor as a whole achieves extended detection range.
3Adaptability or versatility
If multiple analysis regions with different reagent concentrations are used, then the range of detection is extended, but device complexity increases
Solution Approach 1:
Multiple analysis regions with different reagent concentrations are merged into a single integrated sensor device. This combining approach extends the detection range while managing complexity through unified device architecture, allowing the sensor to function as a cohesive unit rather than separate components.
Solution Approach 2:
The sensor is designed as a universal device that performs multiple detection functions across different glucose ranges through its multiple analysis regions. This multi-functionality is achieved within a single device structure, extending the range of detection without proportionally increasing device complexity.
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 sensors can measure analyte levels over a wider range with greater accuracy, enabling more reliable and comprehensive glucose monitoring, potentially overcoming limitations of existing implantable sensors and aligning with the performance of blood glucose strip-based systems.
Implementation Method 1
each region responds differently to analyte concentrations, allowing for broader and more precise glucose monitoring
Data Source
AI summary
Embodiments provide sensors, such as implantable sensors, and methods of producing such sensors. An implantable sensor may include a base, one or more chambers, and one or more sensor reagents. A membrane may be coupled to the chambers over the sensor reagents. The implantable sensor may be at least partially implanted into the dermis of an animal. One or more of the sensor reagents may emit light or exhibit a color change in response to the presence of a target analyte or reaction product thereof. The response may be detected and analyzed by the user or by a reader device to determine the target analyte concentration.