Autonomous Culture Medium Optimization Apparatus
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Solution Overview
Problem
Current methods for culturing microorganisms, especially co-cultures, are labor-intensive and time-consuming, requiring extensive preliminary tests to find a suitable culture medium and optimal organism ratios.
Innovation Solution
An apparatus comprising N spatially separated reaction vessels, a robot for automating the preparation of culture medium compositions and organism ratios, and a controller using AI to assess process responses and optimize culture medium compositions and organism ratios autonomously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional manual methods are used for culturing microorganisms and optimizing culture medium compositions, then researchers can conduct preliminary tests to find suitable culture conditions, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The system divides the optimization process into N parallel culturing tests, each conducted in a separate reaction vessel with different culture medium compositions. This segmentation allows simultaneous evaluation of multiple compositions, dramatically reducing the time required to determine the optimized composition compared to sequential testing.
Solution Approach 2:
The system employs autonomous automation where the robot automatically prepares culture media, inoculates reaction vessels, monitors culturing processes, and analyzes results without human intervention. The controller autonomously determines the optimized culture medium composition based on measured data, eliminating manual labor and accelerating the optimization process.
2Productivity
If researchers manually conduct preliminary tests to find optimal organism ratios in co-cultures, then they can identify suitable conditions, but the process requires extensive labor and time
Solution Approach 1:
The robot autonomously performs all operations including preparing culture media with different organism ratios, inoculating reaction vessels, monitoring culturing processes, and analyzing results. This autonomous automation eliminates manual labor completely, making the process both highly efficient and easy to operate with minimal human intervention.
Solution Approach 2:
The system incorporates process measurement devices that continuously monitor culturing processes and provide feedback to the controller. Based on this feedback, the controller automatically adjusts organism ratios and culture medium compositions in subsequent tests, enabling rapid convergence to optimal conditions without extensive manual trial and error.
3Manufacturing precision
If extensive preliminary tests are conducted to optimize culture medium composition, then the optimized composition can be found, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The system segments the optimization process into N parallel tests, each evaluating a different culture medium composition. This parallelization maintains high precision by thoroughly testing multiple compositions simultaneously while dramatically improving speed compared to sequential testing, resolving the contradiction between precision and productivity.
Solution Approach 2:
The system systematically varies parameters including culture medium compositions and organism ratios across N reaction vessels. By changing multiple parameters simultaneously in parallel tests rather than one-at-a-time, the system achieves both high precision in identifying the optimized composition and high productivity through accelerated testing.
Data Source
AI summary
In order to accelerate the determination of optimal conditions for culturing of a particular biological organism (14), an apparatus (1) and a corresponding method are proposed, with which, with the aid of a computer and autonomously, i.e. without any human involvement, it is possible to determine an optimized composition of a culture medium (3) and, if appropriate, additional optimized active factors that promote culturing of the organism (14). By this approach, it is possible within a very short time to determine the optimized composition of the culture medium (3) for a specific biological organism (14) in an automated manner or, for example, an optimized ratio of at least two organisms (14a, 14b) that are to be cultured together.