Microbial Flora Analysis via Multidimensional Sequence Coordinates
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Solution Overview
Problem
The existing methods for analyzing microbial flora in activated sludge, such as those used in wastewater treatment, face challenges in accuracy due to reliance on electrophoretic analysis, which is not quantitatively and qualitatively high, leading to potential inaccuracies in determining the states of microorganisms.
Innovation Solution
A microbial community analysis system that inputs nucleotide sequences of microorganisms, calculates similarity between data groups, and generates coordinates in a multidimensional space for accurate analysis, using next-generation sequencing technology to read and process genetic data, enabling more precise determination of microbial states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electrophoretic analysis is used to analyze microbial flora, then the analysis method is simple and established, but the measurement precision and reliability are insufficient
Solution Approach 1:
The patent replaces electrophoretic analysis (a physical separation method) with next-generation sequencing technology (a molecular biology method). This substitution enables direct nucleotide sequence analysis, providing quantitative and qualitative accuracy while resolving the contradiction between measurement precision and method simplicity.
Solution Approach 2:
The patent changes the analysis parameter from electrophoretic mobility patterns to nucleotide sequence data. By sequencing the 16S ribosomal RNA gene and analyzing actual nucleotide sequences, the system achieves high-precision microbial identification and classification, transforming the basis of measurement from indirect physical properties to direct molecular information.
2Reliability
If nucleotide sequence analysis is performed using next-generation sequencing, then the accuracy of microbial flora analysis is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the complex analysis process into distinct functional modules: DNA extraction, PCR amplification of 16S rRNA gene, next-generation sequencing, and computational analysis. This segmentation allows each module to be optimized independently and facilitates systematic data processing, managing the complexity through structured division of the overall system.
Solution Approach 2:
The patent introduces computational analysis tools and algorithms as intermediaries between the sequencing hardware and the interpretation of microbial states. These software intermediaries process raw sequence data, perform taxonomic classification, and generate meaningful ecological insights, bridging the gap between complex data generation and reliable determination.
Data Source
AI summary
A computer of a microbial community analysis system includes an input unit configured to input a plurality of data groups including information indicating a nucleotide sequence of a gene of each of a plurality of microorganisms included in activated sludge in which a water treatment is performed; a similarity calculating unit configured to calculate a similarity between data groups on the basis of the nucleotide sequences included in the input data groups, and a coordinates calculating unit configured to calculate coordinates in a multidimensional space of each of the data groups on the basis of the calculated similarity.