Electric Pulse Treatment Optimization for Cell Analysis
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Solution Overview
Problem
Existing methods for treating cells with pulsed electric fields in the bio-based industry are inefficient, requiring several weeks to determine if treatment parameters are suitable for cell proliferation and bioactive compound extraction, affecting the method's economy and efficiency.
Innovation Solution
A method and system for identifying optimized treatment conditions using electric pulses, involving a single-flow device or high-throughput system where cellular material is treated under varying conditions, with real-time analysis using machine-learning modules and analytical techniques like flow cytometry or impedance spectroscopy to quickly determine suitable conditions for targeted inactivation and bioactive compound extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional PEF treatment methods are used to treat cells, then cell treatment effects (proliferation, inactivation, extraction) can be achieved, but it takes several weeks to obtain feedback on treatment suitability
Solution Approach 1:
The patent applies preliminary action by implementing real-time monitoring and analysis during the treatment process itself, rather than waiting for post-treatment evaluation. Sensors continuously measure treatment effects on cellular material, and machine learning algorithms immediately analyze this data to determine treatment suitability, enabling rapid optimization without the weeks-long delay of traditional methods.
Solution Approach 2:
The patent implements continuous feedback mechanisms through real-time monitoring systems that track treatment effects during the PEF process. The system collects data on cellular responses, analyzes this information immediately using machine learning, and provides feedback to adjust treatment parameters dynamically, transforming the traditional slow iterative process into a rapid closed-loop optimization system.
2Reliability
If multiple treatment conditions are tested to identify optimized parameters, then treatment effectiveness improves, but the time required for screening increases
Solution Approach 1:
The system performs preliminary screening of multiple treatment conditions in parallel using real-time monitoring. Instead of sequentially testing conditions over weeks, the patent enables simultaneous evaluation of multiple parameters with immediate feedback, allowing rapid identification of effective treatments without compromising reliability.
Solution Approach 2:
The patent systematically varies treatment parameters (electric field strength, pulse duration, pulse frequency) and uses machine learning to analyze the relationship between parameter changes and treatment outcomes. This enables efficient exploration of the parameter space to identify optimized conditions without requiring exhaustive sequential testing.
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
This approach significantly reduces the time required to establish suitable treatment conditions, enhancing the efficiency and economy of cell treatment processes for applications in medical, environmental, and food industries by allowing fast identification of optimal electric pulse parameters for cell growth and bioactive compound stimulation.
Implementation Method 1
treating samples comprising cellular material with electric pulses for targeted inactivation, the extraction of bioactive compounds, and the stimulation of cell growth and/or cellular compounds
Implementation Method 2
analysing the results of the treatment in step a) for each of the applied condition (s)
Implementation Method 3
analysing the results of the treatment in step a) for each of the applied condition (s)
Data Source
AI summary
The present invention is related to a method for the identification of optimized conditions for treating cells with electric pulses for targeted inactivation, the extraction of bioactive compounds, and the stimulation of cell growth and/or cellular compounds, comprising the steps of treating samples comprising cellular material under at least one condition, preferably two or more different conditions, analysing the results of the treatment in step a) for each of the applied different conditions, and identifying suitable conditions from the analysis of step b). The present invention is furthermore related to a system (1) for performing said method, as well as to a method for treating cells for targeted inactivation, the extraction of bioactive compounds, and the stimulation of cell growth and/or cellular compounds, employing the above identified suitable conditions.