Modular Sample Processing Device with Segmented Control Units
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Solution Overview
Problem
Existing sample preparation devices for biological samples are inefficient, prone to operating errors, and lack flexibility, requiring frequent user intervention and supervision, especially in automated processes for high-throughput sample analysis.
Innovation Solution
A modular device with separate units for sample conditioning, amplification, and analysis, each with its own control system connected via a data bus, allowing for flexible configuration and continuous operation with reduced user intervention, incorporating modules for lysis, magnetic separation, and sequential processes like PCR, and enabling efficient processing and analysis of biological samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated processes are used for high-throughput sample preparation, then productivity is improved, but device complexity increases and reliability deteriorates due to frequent operating errors
Solution Approach 1:
The device is divided into multiple independent modules (lysis module, extraction module, amplification module, detection module), each capable of performing specific functions autonomously. This segmentation reduces the complexity of the overall system while maintaining high throughput capabilities, and allows for easier maintenance and reduced operating errors through modular replacement and independent operation.
Solution Approach 2:
The device incorporates self-monitoring and automatic error detection systems that allow it to identify and correct operating errors without external intervention. The control system automatically manages the workflow between modules, reducing human intervention and thereby decreasing operating errors while maintaining high productivity.
2Productivity
If automated processes are used for high-throughput sample preparation, then productivity is improved, but ease of operation deteriorates due to frequent user intervention and supervision required
Solution Approach 1:
The device incorporates self-monitoring and automatic error detection systems that allow it to identify and correct operating errors without external intervention. The control system automatically manages the workflow between modules, reducing human intervention and thereby decreasing operating errors while maintaining high productivity.
Solution Approach 2:
The device includes feedback mechanisms where each module reports its status and performance to the central control system, which automatically adjusts operations to maintain optimal performance. This closed-loop control reduces the need for user supervision while ensuring reliable high-throughput operation.
3Device complexity
If integrated device design is used, then device complexity is reduced, but adaptability deteriorates due to limited flexibility in configuration
Solution Approach 1:
The device is divided into multiple independent modules (lysis module, extraction module, amplification module, detection module), each capable of performing specific functions autonomously. This segmentation reduces the complexity of the overall system while maintaining high throughput capabilities, and allows for easier maintenance and reduced operating errors through modular replacement and independent operation.
Solution Approach 2:
Each module is designed with universal interfaces and standardized connection protocols, allowing them to be configured in different arrangements to suit various application requirements. The modules can perform multiple functions through programmable control, providing flexibility and adaptability without increasing overall system complexity.
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 device enhances efficiency, reduces operating errors, and provides flexibility and ease of maintenance, enabling continuous operation with minimal user supervision, thus improving sample preparation and analysis workflows.
Implementation Method 1
concerns the addition of preferably magnetic or magnetisable particles that have a nucleic acid- or protein-adsorbing substance on their surface, and the subsequent separation of the particles from the remainder of the sample by a magnetic separation process
Implementation Method 2
The materials have a surface, onto which bind the biomolecules to be isolated or the unwanted components to be separated, in a specific or non-specific process
Implementation Method 3
other purification processes retain the biomolecules on filter elements simply due to the effect of size exclusion
Data Source
AI summary
Device for sample processing, particularly sample conditioning as well as for the preparation and/or optionally for implementing a sequential process for an analyte from a biological sample, said device comprising a module for receiving and/or outputting at least one sample vessel or process vessel, a module for transporting a process vessel, a module for sample conditioning and a module for initiating a sequential process for an analyte. The modules are divided into at least two units that each possesses a control system, and which are connected through a first data bus.