Bacteriophage Pressure Monitoring in Milk Fermentation
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Solution Overview
Problem
Current methods fail to effectively monitor and control bacteriophage pressure in milk fermentation processes, leading to economic losses in the dairy industry due to inhibited fermentation caused by bacteriophages.
Innovation Solution
A computer-implemented method and system that monitor milk fermentation process performance data, detect bacteriophage numbers, and use a model to provide instructions for controlling bacteriophage pressure, allowing for real-time monitoring and control of bacteriophage pressure remotely, optimizing bacterial culture combinations to minimize common sensitivities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If bacterial cultures are used for milk fermentation, then fermentation efficiency and product quality are improved, but bacteriophage infection risk increases causing economic losses
Solution Approach 1:
The system performs preliminary monitoring of bacteriophage pressure and fermentation performance data before critical infection occurs. By continuously collecting and analyzing data trends, the system can predict potential bacteriophage threats and issue warnings or control instructions in advance, preventing economic losses before they happen.
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where fermentation performance data and bacteriophage pressure data are continuously monitored, analyzed by a model, and control instructions are issued back to the fermentation process. This feedback loop enables real-time adjustments to maintain optimal fermentation conditions while managing bacteriophage pressure.
2Reliability
If bacteriophage pressure is monitored and controlled in real-time, then economic losses are reduced, but system complexity and monitoring requirements increase
Solution Approach 1:
The monitoring system is designed to handle multiple functions through a unified platform: collecting fermentation performance data, measuring bacteriophage pressure, analyzing data through a model, and issuing control instructions. This multi-functional approach reduces the need for separate specialized systems while maintaining comprehensive monitoring capabilities.
Solution Approach 2:
The system incorporates automated data collection, analysis, and control instruction generation that reduces manual intervention. The model automatically processes the collected data and generates appropriate control instructions, enabling the system to manage itself with minimal human oversight while maintaining high reliability.
Data Source
AI summary
The present invention relates to computer implemented method for monitoring and controlling bacteriophage pressure in a milk fermentation process using a bacterial culture, said method comprises the steps of: monitoring milk fermentation process performance data; monitoring a value indicative for the number of bacteriophages; submitting the milk fermentation process performance data and the value indicative for the number of bacteriophages to a model; receiving from the model an instruction to control bacteriophage pressure; and controlling the bacteriophage pressure.