Test Strip Code Sequence Recognition for Biosensor Accuracy
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Solution Overview
Problem
Current electrochemical biosensors, such as blood glucose strips, face challenges in accurately measuring biological analytes due to errors caused by raw materials, environmental factors, and the need for improved industrial quality and cost-effectiveness, with a growing demand for more precise and affordable monitoring devices.
Innovation Solution
A biological analyte monitoring device and test strip configuration that includes a code sequence recognition system, where the test strip has a code indicator with specific elements (first code element, guide element, reference element, index element, and second code element) that are automatically recognized by the device, allowing for correction values to be applied to measurement results, thereby enhancing accuracy and industrial quality while reducing raw material usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a code indicator with multiple elements is added to the test strip, then measurement precision is improved through automatic recognition and correction, but device complexity increases
Solution Approach 1:
The code indicator is segmented into multiple functional elements (first code element, guide element, reference element, index element, second code element), each serving a specific purpose in the automatic recognition process. This segmentation allows the system to encode multiple pieces of information (batch number, correction values, test type) in a structured manner that can be automatically decoded by the monitoring device, thereby improving measurement precision without requiring complex manual intervention.
Solution Approach 2:
The code indicator acts as an intermediary between the test strip and the monitoring device. It provides a standardized interface for automatic recognition, allowing the monitoring device to read and process information about the test strip's correction values and parameters without complex direct communication protocols. This intermediary structure simplifies the overall system complexity while enabling precise measurement through automated data exchange.
2Ease of manufacture
If raw material usage is reduced to lower production costs, then manufacturing precision may deteriorate due to quality control challenges
Solution Approach 1:
The code indicator provides feedback information about the test strip's manufacturing batch and correction values directly to the monitoring device. This feedback mechanism allows the system to automatically compensate for variations in raw material quality and manufacturing tolerances by applying batch-specific correction factors, thereby maintaining manufacturing precision even when using cost-effective raw materials with normal tolerances.
Solution Approach 2:
Instead of requiring extremely tight manufacturing tolerances on all parameters, the system changes the approach by encoding correction values in the code indicator that adjust for parameter variations. This allows raw materials and manufacturing processes to operate within normal tolerance ranges, reducing production costs, while the correction parameters applied during measurement compensate for any deviations, maintaining the required measurement precision.
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 solution enables accurate and cost-effective measurement of biological analytes by automatically recognizing the code sequence on the test strip, allowing for correction of measurement errors and improving industrial quality, while minimizing raw material usage and production costs.
Implementation Method 1
a target substance in the sample is oxidized by a catalytic action of the enzyme and concurrently oxygen or an electron transport medium is reduced
Implementation Method 2
oxygen or an electron transport medium is reduced
Implementation Method 3
The electrochemical biosensor may measure an electrical signal obtained from a reaction
Data Source
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AI summary
Disclosed is a biological analyte monitoring device including a strip inserter (120) in which a test strip (110) is to be inserted, and a processor configured to read a code sequence based on an element detected from an index region, a first code region, and a second code region of the test strip in response to the test strip being inserted in the strip inserter, wherein the processor is further configured to determine a target interval in which an index element (114) formed in the index region is detected while the test strip is being inserted in the strip inserter, detect a first code element (111) formed in the first code region in the target interval and detect a second code element (115) formed in the second code region in the target interval, and identify the code sequence based on a result of detecting the first code element and the second code element.