Mechanical-Change Sequence Detection for Reliable Entity Identification
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Solution Overview
Problem
Existing sequence-detection systems face challenges in achieving high reliability and accuracy while maintaining cost-effectiveness and simplicity, often requiring complex detectors and multiple signal types to differentiate entities within a target sequence.
Innovation Solution
A mechanical-change-based sequence detector using a mechanical-change sensor and transducer to generate electrical signals from mechanical interactions with entities, combined with an analysis subsystem to determine entity types, and a nucleic-acid-polymerase component for nucleotide sequencing, employing multiple derived values to distinguish monomers in nucleic-acid polymers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple types of detectors and multiple types of signals are used to identify entities within a target sequence, then reliability and accuracy of sequence detection are improved, but cost and complexity of the sequence detector increase
Solution Approach 1:
The patent applies universality by designing a single mechanical-change sensor that can detect multiple types of entities (macroscale objects, nanoparticles, and nucleotides) through a unified mechanism. The sensor uses mechanical changes in a porin channel caused by different entities to generate detectable signals, eliminating the need for separate detectors for each entity type while maintaining detection reliability across diverse targets.
Solution Approach 2:
The patent replaces complex optical and electromagnetic detection systems with a mechanical detection mechanism. By using a mechanical-change sensor that detects physical changes in porin channel conductivity caused by entity binding, the system simplifies the detection apparatus while maintaining accuracy, substituting sophisticated optical/electromagnetic systems with a straightforward mechanical transduction approach.
2Measurement precision
If multiple types of detectors and multiple types of signals are used to identify entities within a target sequence, then accuracy of sequence detection is improved, but cost of the sequence detector increases
Solution Approach 1:
The patent applies universality by designing a single mechanical-change sensor that can detect multiple types of entities (macroscale objects, nanoparticles, and nucleotides) through a unified mechanism. The sensor uses mechanical changes in a porin channel caused by different entities to generate detectable signals, eliminating the need for separate detectors for each entity type while maintaining detection reliability across diverse targets.
Solution Approach 2:
The patent applies parameter changes by detecting different entity types through variations in mechanical signal parameters rather than using different detectors. The analysis subsystem distinguishes between entity types by analyzing derived values from the mechanical signals, such as signal magnitude, duration, and pattern, allowing accurate identification through parameter differentiation rather than hardware multiplication.
3Device complexity
If a mechanical-change-based sensor is used to detect entities, then complexity and cost of the detector are reduced, but the ability to differentiate between different types of entities may be compromised
Solution Approach 1:
The patent introduces an intermediary analysis subsystem that processes mechanical signals and computes multiple derived values to differentiate entity types. This computational intermediary translates the simple mechanical sensor output into detailed entity identification, bridging the gap between simplified sensing and complex differentiation requirements without adding hardware complexity.
Solution Approach 2:
The patent applies dimensionality change by transitioning from single-parameter mechanical sensing to multi-dimensional signal analysis. The analysis subsystem computes multiple derived values (magnitude, duration, pattern recognition) from the mechanical signals, creating additional measurement dimensions that enable accurate entity differentiation while keeping the physical sensor simple and unified.
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 provides reliable and accurate sequence detection with reduced complexity and cost by using mechanical changes to generate distinct electrical signals for entity differentiation, enabling efficient sequence determination of macroscale and nanoscale objects and nucleotides.
Implementation Method 1
a mechanical-change sensor component that exhibits mechanical changes when specifically interacting with entities within a target
Implementation Method 2
a mechanical-change-to-signal transducer that transduces the one or more mechanical changes into a signal
Data Source
AI summary
The current document discusses a detection system comprising a mechanical change sensor that exhibits one or more mechanical changes when specifically interacting with entities within a target, each entity having a type, a mechanical-change-to-signal transducer that transduces the one or more mechanical changes into a signal, and an analysis subsystem that determines the types of entities within the target using the signal.