Chemical Reaction Network for Nucleic Acid Concentration Pattern
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Solution Overview
Problem
Current methods for analyzing nucleic acid concentrations, such as RNA, are costly, time-consuming, and lack sensitivity, making it difficult to accurately measure and classify these concentrations for disease detection and cellular dynamics studies.
Innovation Solution
A chemical reaction network is employed to convert the input nucleic acid concentration into a pattern of output species, allowing for classification and quantification of the input concentration in a more accessible and readable form, using nucleic acid strand displacement reactions that do not require enzymes and can be implemented with nucleic acids alone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods (RT-qPCR, DNA microarrays, next-generation sequencers) are used to measure nucleic acid concentration, then measurement accuracy can be achieved, but the cost is high and the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces complex mechanical and electronic measurement systems (RT-qPCR machines, microarray scanners, sequencers) with a chemical reaction network system. The chemical reactions naturally amplify and transform the input nucleic acid signal into detectable output species patterns, eliminating the need for expensive and time-consuming conventional measurement equipment while maintaining measurement capability through the chemical amplification process
Solution Approach 2:
The chemical reaction network performs self-amplification and self-detection functions. The input nucleic acid species triggers a cascade of chemical reactions that automatically amplify the signal and generate distinct output species patterns. The system serves itself by using the chemical reactions to both process and detect the nucleic acid concentration without requiring external mechanical intervention or complex instrumentation
2Measurement precision
If conventional measurement tools are used, then quantitative measurement of RNA concentration is possible, but the cost increases and the process becomes more complex
Solution Approach 1:
The patent substitutes complex mechanical measurement devices with a purely chemical system. The chemical reaction network uses nucleic acid strand displacement reactions to convert input RNA concentration into output species patterns, replacing the need for complex electronic detection systems, mechanical amplification devices, and sophisticated instrumentation while maintaining quantification capability
Solution Approach 2:
The patent changes the measurement parameter from direct concentration detection to pattern recognition of output species. Instead of measuring RNA concentration directly with complex instruments, the system transforms the concentration information into a pattern of output chemical species that can be detected through simpler means, effectively changing the measurement parameter from an analog concentration value to a discrete species pattern
3Ease of manufacture
If chemical reaction networks are used to classify concentration, then the process becomes more accessible and cost-effective, but the measurement complexity increases
Solution Approach 1:
The patent segments the measurement process into distinct chemical reaction stages. The chemical reaction network is divided into multiple sequential reactions, each producing specific output species that correspond to different concentration ranges. This segmentation allows the complex measurement task to be broken down into manageable chemical steps, making the system more accessible and easier to implement while distributing the complexity across multiple simple reaction components
Solution Approach 2:
The patent changes the output parameter from a continuous concentration value to a discrete pattern of chemical species. By transforming the measurement output into distinct species patterns that can be detected through simple presence/absence or color changes, the system reduces the complexity of detection equipment needed while maintaining the ability to classify and quantify the input concentration
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 approach enables robust and cost-effective quantification of nucleic acid concentrations, improving measurement accuracy and enabling the detection of biomarkers with high sensitivity and low cost, while allowing for the classification of input concentrations into more accessible digital or multi-level signals.
Implementation Method 1
a sequence of chemical reactions starting with the input chemical species to generate a plurality of output chemical species
Implementation Method 2
exposing the solution to the chemical reaction network to present a pattern formed by the plurality of output chemical species depending on the concentration of the input chemical species
Data Source
AI summary
A technique for performing a function by utilizing chemical reactions is disclosed. In the technique, solution including an input chemical species having a concentration is provided. A chemical reaction network that includes at least a sequence of chemical reactions starting with the input chemical species to generate a plurality of output chemical species is also prepared. The solution is exposed to the chemical reaction network to present a pattern formed by the plurality of output chemical species depending on the concentration of the input chemical species.