Sensor Qualification Using Clustering Quality Scores
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Solution Overview
Problem
The qualification and comparison of sensors used for detecting and identifying volatile organic compounds are subjective and biased, making it difficult to assess the quality of biosensors with reactive sites deposited or grafted at the nanoscale, particularly in electronic noses.
Innovation Solution
A method for certifying sensors using a metrics-based approach that includes clustering quality scores, signal-to-noise ratio, limit of detection, and classification performance, which involves selecting reference analytes, conditioning them in fluid samples, and computing validity indices to ensure objective quality assessment and impartial comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biosensors with reactive sites deposited or grafted at nanoscale are used, then sensor sensitivity and detection capability are improved, but measurement precision and quality assessment become difficult and subjective
Solution Approach 1:
The patent applies parameter changes by establishing quantitative metrics (clustering quality score, signal-to-noise ratio, limit of detection, classification performance) to assess sensor quality. These metrics transform subjective quality assessment into objective numerical evaluations, allowing precise comparison of sensors with complex nanoscale reactive sites without requiring direct visualization or manual assessment of the nanoscale structures.
2Adaptability or versatility
If different sensor technologies with various reactive sites and transducers are compared, then technological versatility is improved, but measurement precision and comparability deteriorate due to subjectivity
Solution Approach 1:
The patent implements universality by creating a standardized qualification framework that can be applied across different sensor technologies (electronic noses, electronic tongues, biosensors). The metrics system serves as a universal language for evaluating diverse sensors with different reactive sites and transducers, enabling precise comparison while maintaining technological versatility.
Solution Approach 2:
The patent uses parameter changes by defining specific quantitative metrics (clustering quality score, signal-to-noise ratio, limit of detection, classification performance) that can be universally measured across different sensor types. This transforms subjective comparisons into objective numerical assessments, allowing precise evaluation and comparison of diverse sensor technologies on a common scale.
3Ease of operation
If subjective qualification methods are used, then ease of operation is improved, but reliability and objectivity of quality assessment worsen
Solution Approach 1:
The patent applies self-service by enabling sensors to be automatically evaluated through computational algorithms that process sensor responses to reference fluid samples. The clustering quality score and other metrics are computed automatically from the data, reducing manual intervention while maintaining ease of operation. This automated self-evaluation significantly improves reliability by eliminating human subjectivity from the qualification process.
Solution Approach 2:
The patent implements feedback by using the computed metrics (clustering quality score, signal-to-noise ratio, etc.) to provide objective information about sensor performance. This feedback loop allows for reliable quality assessment and enables continuous improvement of sensor manufacturing processes based on quantitative performance data rather than subjective judgments.
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 method enables the objective qualification and comparison of sensors, ensuring a certain level of quality and performance, thereby overcoming the subjectivity and bias in sensor qualification and comparison.
Implementation Method 1
each of said reactive sites comprises a chemical component that has adsorbing properties for a volatile organic compound
Data Source
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AI summary
This sensor (10), configured to input a fluid sample and to output a corresponding signature obtained from an electric signal (S) characterizing the fluid sample, comprises: at least one reactive site (18); at least one transducer (20) configured to measure at least one physical property change induced by an interaction of the fluid sample with said at least one reactive site (18) and to produce said electric signal (S). It is further certified (44) to have passed a qualification test comprising computing a metrics and checking that said metrics matches at least one predefined qualifying criterion, wherein the metrics comprises, for a plurality of reference fluid samples, a clustering quality score of respective signatures of the plurality of reference fluid samples.