Biosensor Slope Deviation Compensation for Analyte Accuracy
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Solution Overview
Problem
Conventional biosensor systems lack the ability to accurately and precisely determine analyte concentrations in biological samples due to multiple error sources such as temperature, hematocrit, and interfering substances, often resulting in analysis results outside desired performance limits.
Innovation Solution
A biosensor system that adjusts analyte concentration determinations using index functions responsive to error parameters, specifically through slope deviations (ΔS values) extracted from output signals, to compensate for errors and improve measurement accuracy and precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional biosensor systems are used to determine analyte concentrations, then the measurement process is simple, but the accuracy and precision are insufficient due to multiple error sources
Solution Approach 1:
The patent applies preliminary action by pre-determining slope deviations (ΔS values) from output signals before final analyte concentration calculation. The system extracts ΔS values responsive to error parameters from the output signals, then uses these pre-processed values to adjust the determination of analyte concentrations, improving accuracy without adding complex real-time processing during measurement.
Solution Approach 2:
The patent introduces slope deviations (ΔS values) as an intermediary element between the raw output signals and the final analyte concentration determination. These ΔS values serve as mediators that carry information about error parameters (temperature, hematocrit, interfering substances) and enable the system to compensate for multiple error sources through algebraic adjustments to the correlation equation.
2Adaptability or versatility
If multiple error sources (temperature, hematocrit, interfering substances) are present in the sample, then the biosensor can handle complex real-world conditions, but the analysis results fall outside desired performance limits
Solution Approach 1:
The patent implements feedback by using output signals from the biosensor to generate slope deviations (ΔS values) that are then fed back to adjust the analyte concentration determination. The system continuously monitors the output signals, extracts error-responsive ΔS values, and uses these to compensate for the effects of temperature, hematocrit, and interfering substances, maintaining measurement precision under varying sample conditions.
Solution Approach 2:
The patent applies parameter changes by adjusting the correlation parameters (slope and intercept) of the analyte concentration determination equation based on extracted ΔS values. The system modifies the slope parameter specifically to compensate for error sources, transforming the fixed correlation into a dynamic one that adapts to different sample conditions while maintaining measurement accuracy.
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 system effectively maintains over 95% of analyses within a ±20% bias limit, preferably within ±10% bias limit, by compensating for errors in analyte concentration calculations, thereby enhancing the accuracy and precision of biosensor measurements.
Implementation Method 1
an output signal is generated from an oxidation/reduction reaction of an analyte in response to an input signal
Implementation Method 2
the chemical indicator produces a reaction product that absorbs light... the reaction product absorbs a portion of the incident beam, thus attenuating or reducing the intensity of the incident beam
Implementation Method 3
a chemical indicator fluoresces or emits light in response to the analyte when illuminated by an excitation beam
Data Source
AI summary
A biosensor system determines analyte concentration from an output signal generated from a light-identifiable species or a redox reaction of the analyte. The biosensor system adjusts a correlation for determining analyte concentrations from output signals with one or more index functions extracted from the output signals. The index functions determine at least one slope deviation value, ΔS, or normalized slope deviation from one or more error parameters. The slope-adjusted correlation between analyte concentrations and output signals may be used to determine analyte concentrations having improved accuracy and/or precision from output signals including components attributable to bias.


