Microfluidic Platform for Integrated Bacterial Identification and AST
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for managing infectious diseases lack integrated and streamlined approaches to identify infectious bacteria, quantify bacterial loads, and perform antibiotic susceptibility tests (AST) directly from clinical samples, often providing only partial solutions and being incompatible between genetic detection and bacterial growth-based methods.
Innovation Solution
A method involving culturing bacteria in the presence and absence of antibiotics, followed by real-time quantitative PCR (qPCR) and high-resolution melt curve analysis (HRMA) to determine antibiotic sensitivity or resistance, and identify bacterial species, using digital PCR and microfluidic chips for single-cell resolution and precise quantification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If discrete methods are used for bacterial identification and antibiotic susceptibility testing, then each test can be optimized independently, but the overall process becomes complex and time-consuming requiring multiple separate procedures
Solution Approach 1:
The patent combines bacterial identification and antibiotic susceptibility testing into a single integrated microfluidic platform. The system simultaneously performs both functions using the same clinical sample and detection infrastructure, eliminating the need for separate discrete tests and reducing overall process complexity while maintaining high accuracy for both functions
2Measurement precision
If traditional blood culture methods are used, then bacterial identification can be achieved, but the process takes too long and cannot provide rapid results for effective treatment
Solution Approach 1:
The system performs preliminary bacterial lysis and DNA extraction immediately upon sample receipt, before the actual detection. This preliminary processing prepares the sample in advance and significantly reduces the total time required for bacterial identification and antibiotic susceptibility testing while maintaining high detection accuracy through optimized lysis conditions and rapid PCR amplification
3Loss of time
If genetic detection methods are used, then rapid identification is achieved, but antibiotic susceptibility testing cannot be performed
Solution Approach 1:
The microfluidic platform is designed as a universal system that can perform multiple functions: bacterial identification, antibiotic susceptibility testing, and quantification of bacterial load. The same device and detection infrastructure support all three functions, allowing rapid identification while simultaneously providing antibiotic susceptibility information that was previously unavailable with genetic methods alone
4Measurement precision
If single-cell resolution methods are used, then precise quantification is achieved, but the device complexity and cost increase
Solution Approach 1:
The system segments the bacterial population into individual cells within the microfluidic channels, allowing single-cell resolution analysis. This segmentation enables precise quantification of bacterial load and detection of heterogeneity in the population while the modular design of the microfluidic components keeps the overall device complexity manageable through standardized fabrication processes
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
Enables seamless integration of bacterial identification, load quantification, and AST, providing high specificity and sensitivity, and reducing the time required for detection, while overcoming the limitations of existing methods by coupling growth-based AST with genetic detection.
Implementation Method 1
amplifying DNA of the unidentified bacteria in the first and second broth using polymerase chain reaction (PCR) forming amplified DNA that is quantified and correlates with the unidentified bacteria growth
Implementation Method 2
identifying the species of unidentified bacteria by determining a first melting curve of the unidentified bacteria and comparing it to one or more melting curves of known bacteria stored in a computer
Data Source
AI summary
Described are methods for identifying antibiotic resistant bacteria, quantifying bacteria growth, and applying an antibiotic susceptibility test (AST) in one or more biological samples containing a bacteria and chips used in these methods.