Microfluidic Sample Digitization with Centrifugal Rotor Loading
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Solution Overview
Problem
Existing methods for self-digitization of fluidic samples, such as nebulizers and microfluidic technologies, are inadequate in terms of control, complexity, cost, and adaptability for high-throughput processing of large numbers of fluidic samples in parallel.
Innovation Solution
A microfluidic array system with tapering flow channels and a rotor-based device for centrifugal sample loading, enabling precise discretization and analysis of fluidic samples into discrete volumes within fluidic compartments, facilitating high-throughput and cost-effective processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If nebulizers and agitation-based emulsion generators are used for self-digitization, then sample discretization can be achieved, but control precision is insufficient
Solution Approach 1:
The system divides the continuous fluid stream into discrete droplets or bubbles through controlled breakup mechanisms, creating individually addressable sample compartments. This segmentation enables precise control over sample discretization while maintaining reliability through defined compartment boundaries.
Solution Approach 2:
The system employs dynamic control mechanisms that can adjust operating parameters in real-time to optimize droplet formation and compartment filling. This dynamic adjustment capability improves both control precision and reliability by adapting to varying sample conditions and flow rates.
2Measurement precision
If microfluidic technologies are used for self-digitization, then sample discretization can be achieved, but device complexity increases
Solution Approach 1:
The microfluidic array is divided into multiple independent flow channels, each capable of processing samples in parallel. This segmentation allows precise discretization of samples while distributing complexity across multiple simple, identical channels rather than one complex channel.
Solution Approach 2:
The microfluidic array design uses identical, reusable flow channel structures that can process different sample types and analytical methods. This universality reduces overall system complexity by standardizing components while maintaining high discretization precision through consistent geometric features.
3Productivity
If prior self-digitization approaches are used, then sample processing can be performed, but adaptability for high-throughput parallel processing is limited
Solution Approach 1:
The system uses a array of multiple flow channels that can process numerous samples simultaneously in parallel. This segmented architecture enables high-throughput processing while maintaining adaptability, as each channel can be independently configured or selected based on the specific analytical technique being applied.
Solution Approach 2:
The microfluidic array platform is designed to accommodate various analytical techniques through its standardized compartment structure. The same physical infrastructure supports different detection methods and sample types, providing both high throughput and broad adaptability without requiring technique-specific hardware modifications.
4Measurement precision
If prior self-digitization methods are used, then sample discretization can be achieved, but processing cost increases
Solution Approach 1:
The system achieves precise discretization by dividing samples into discrete compartments within a microfluidic array. This segmentation approach maintains high discretization accuracy while using standard microfabrication techniques that reduce manufacturing costs compared to more complex prior methods.
Solution Approach 2:
The microfluidic arrays are designed as disposable or easily replaceable components with simple geometric features. This approach reduces manufacturing costs by using straightforward fabrication processes and eliminates the need for complex cleaning and maintenance, while still achieving the required discretization precision for accurate sample analysis.
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 improved control and reliability for self-digitization, enabling efficient processing and analysis of fluidic samples, including chemicals, biochemicals, and biological materials, with enhanced throughput and compatibility with various analytical techniques.
Implementation Method 1
a rotor assembly comprising a central axis and a plurality of receptacles arranged radially around the central axis, each receptacle being shaped to receive the microfluidic device such that the proximal body portion of the microfluidic device is positioned near the central axis and the distal body portion of the microfluidic device is positioned away from the central axis
Data Source
Figure 1
Figure 2
Figure 3A~3B
AI summary
Systems, methods, and devices for discretizing and analyzing fluidic samples are provided. In one aspect, a microfluidic array for discretizing a fluidic sample comprises one or more flow channels and a plurality of fluidic compartments in fluidic communication with the one or more flow channels. In another aspect, a system for discretizing and analyzing fluidic samples comprises a rotor assembly shaped to receive a microfluidic device.